This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze's product is the control center for thousands of the world's most sophisticated marketing teams. The Frontend Infrastructure & Experience (FIX) team builds the platform foundations that every product engineer relies on and owns key parts of the end-user experience. The team makes it easy for engineers across Braze to build polished, accessible, and consistent UIs. FIX owns our design system and component library, internationalization stack, code generation and scaffolding tooling, and the navigation and routing layer of the product. The team also owns key customer-facing experiences including our data tables and our rich text, drag-and-drop, and code editors. As a Senior Engineer on FIX, you will build high-impact frontend infrastructure and product experiences used across Braze. You will lead important projects from design through rollout, raise the quality bar through technical judgment and code review, and help other engineers move faster by making the product easier to build, test, and maintain. In this role you will: Design and build foundational frontend systems, components, tools, and patterns used by engineers across Braze Lead large projects end-to-end, including technical design, implementation, testing, rollout, and operational follow-through Improve the developer experience of working in a large TypeScript and React codebase through better abstractions, tooling, documentation, and examples Build customer-facing product experiences that are polished, accessible, performant, and consistent with Braze's product standards Partner with product engineers, designers, and infrastructure teams to solve cross-cutting frontend problems Mentor other engineers through code review, pairing, technical guidance, and clear communication Recent and ongoing work on the team includes: Developing the framework used to build our marketing message editors Enabling our in-app AI harness to create, modify, and test messages in our Drag-and-Drop message editors Migrating the navigation and routing layer to a fully React-based system Extending the design system with semantic tokens and supporting a product rebrand Building type-safe scaffolding and API tooling for frontend development Advancing accessibility, localization, and consistency across product experiences Parts of our stack with which you will work: TypeScript, React Cypress, Jest, RSpec Frontend build, packaging, and code generation tooling Ruby on Rails WHO YOU ARE Have 5+ years of software engineering experience with a strong track record of technical impact Are highly skilled in modern frontend development, especially TypeScript and React Have experience building reusable frontend systems, components, tools, or infrastructure Care deeply about user experience, accessibility, performance, and maintainability Are comfortable working in a large frontend codebase with many stakeholders Communicate clearly, collaborate well across teams, and help raise the technical bar for those around you Bonus experience Experience building design systems or component libraries Experience with frontend testing frameworks such as Cypress or Jest Experience with code generation, linting, codemods, or other developer tooling Experience with internationalization, localization, or accessibility Experience with Ruby on Rails For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $209,368/year with an expected On Target Earnings (OTE) between $144,000 and $234,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze's product is the control center for thousands of the world's most sophisticated marketing teams. The Frontend Infrastructure & Experience (FIX) team builds the platform foundations that every product engineer relies on and owns key parts of the end-user experience. The team makes it easy for engineers across Braze to build polished, accessible, and consistent UIs. FIX owns our design system and component library, internationalization stack, code generation and scaffolding tooling, and the navigation and routing layer of the product. The team also owns key customer-facing experiences including our data tables and our rich text, drag-and-drop, and code editors. As a Senior Engineer on FIX, you will build high-impact frontend infrastructure and product experiences used across Braze. You will lead important projects from design through rollout, raise the quality bar through technical judgment and code review, and help other engineers move faster by making the product easier to build, test, and maintain. In this role you will: Design and build foundational frontend systems, components, tools, and patterns used by engineers across Braze Lead large projects end-to-end, including technical design, implementation, testing, rollout, and operational follow-through Improve the developer experience of working in a large TypeScript and React codebase through better abstractions, tooling, documentation, and examples Build customer-facing product experiences that are polished, accessible, performant, and consistent with Braze's product standards Partner with product engineers, designers, and infrastructure teams to solve cross-cutting frontend problems Mentor other engineers through code review, pairing, technical guidance, and clear communication Recent and ongoing work on the team includes: Developing the framework used to build our marketing message editors Enabling our in-app AI harness to create, modify, and test messages in our Drag-and-Drop message editors Migrating the navigation and routing layer to a fully React-based system Extending the design system with semantic tokens and supporting a product rebrand Building type-safe scaffolding and API tooling for frontend development Advancing accessibility, localization, and consistency across product experiences Parts of our stack with which you will work: TypeScript, React Cypress, Jest, RSpec Frontend build, packaging, and code generation tooling Ruby on Rails WHO YOU ARE Have 5+ years of software engineering experience with a strong track record of technical impact Are highly skilled in modern frontend development, especially TypeScript and React Have experience building reusable frontend systems, components, tools, or infrastructure Care deeply about user experience, accessibility, performance, and maintainability Are comfortable working in a large frontend codebase with many stakeholders Communicate clearly, collaborate well across teams, and help raise the technical bar for those around you Bonus experience Experience building design systems or component libraries Experience with frontend testing frameworks such as Cypress or Jest Experience with code generation, linting, codemods, or other developer tooling Experience with internationalization, localization, or accessibility Experience with Ruby on Rails For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $209,368/year with an expected On Target Earnings (OTE) between $144,000 and $234,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes . click apply for full job details
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
11/13/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
Job Description Job Description Description Senior Systems Engineer iVenture: No Mediocre Experiences Here At iVenture, we are more than just an IT company; we are a team of problem solvers and critical thinkers who personalize service and aim to do it right the first time. For over two decades, iVenture has built a legacy of excellence in solving IT problems with a relentless commitment to service, impacting our clients every day with expertise, execution, and experience. The Impact You Will Create As a Senior Systems Engineer, you will be at the forefront of driving high-impact projects that shape the IT infrastructure for our growing client base. Your role is pivotal in designing, implementing, and supporting advanced solutions influencing both internal operations and our external clients' success directly. Key Responsibilities We are seeking a self-starter who can: Strategically implement and support Microsoft Windows server technologies and related applications. Configure and optimize network equipment like switches, firewalls, and routers. Lead system and network migration projects for networks ranging from 10 to 250 users, owning all aspects of data and application migrations. Organize and execute server, application and data migration projects, ranging from 2 days to 8 weeks in duration Tackle high-level projects with significant autonomy, scheduling, and problem-solving. Who You Are A dynamic IT professional with: A Bachelor's Degree in a related field or equivalent experience. 5+ years in supporting Windows desktop technologies and client/server applications in a Windows-based network environment including: Microsoft Windows Server, current/latest version of Exchange (or other enterprise mail systems) Active Directory, Group Policy Solid understanding of TCP/IP network fundamentals and related equipment (switches, routers, etc.) Virtualization experience required (VMWare/Hyper-V) All current Microsoft Desktop Operating Systems (7/8/10) Experience with VDI technologies required (XenApp/RDS or other virtual desktop infrastructure) Managing Microsoft Office 365 platform/Office Suite High level of knowledge on one or more specialized technologies, such as messaging, databases, Citrix, virtualization, etc. A drive for continuous learning and development A Day in the Life You will interact with team members and clients regularly on technology design and planning, project scopes, iVenture accepted practices, and issue resolution. Your time during a typical week will be spent on 70% server/network projects, 20% design, support escalations and root cause identification, 5% training, and 5% admin/meetings. The ability to manage your schedule effectively is crucial, offering you flexibility and autonomy. While you'll have the freedom to shape your workdays, availability and ownership are key, with flex days provided to balance extensive work periods. Given the need for on-site client visits, you require a valid driver's license and reliable transportation. Smoking is prohibited at all client sites and iVenture offices. Successful applicants will also undergo criminal, employment, credit, and motor vehicle background checks to ensure alignment with our high standards. Why This Role Matters Your work directly impacts the efficiency and security of IT systems that empower our clients. You will: Contribute to critical IT solutions that enhance client operations. Engage with team members and clients to ensure the delivery of high-standard IT services. Provide mentorship and expertise within our team, shaping the future of our culture and IT landscape. Benefits iVenture: A Place to Thrive Your Path Here Measured Impact: Your performance will be measured through billable hours, ticket SLA adherence, and successful completion of projects on time and within budget. Growth Opportunities: With dedicated career paths, you have great growth potential. Start in a junior role and work your way up or pivot into a principal consultant or solution sales engineer roles, shaping strategic IT roadmaps for our clients. In fact, iVenture had 59 internal promotions last year alone! Robust Benefits and Fair Compensation Comprehensive Insurance Plans: Enjoy a competitive benefits package that includes life insurance and long-term disability coverage. Retirement Savings: Benefit from a 401K plan with a 4% match to help secure your future. Health and Wellness: Stay active with a FitOn membership, offering free sessions at local gyms and studios. Paid Time Off: Start with 3 weeks of paid time off in your first year, increasing to 4 weeks in your second year. Family Support: Take advantage of paid maternity, paternity, and foster leave to support your family needs. Professional Development: Enhance your skills with paid certifications, training days, and access to our virtual lab. Salary: An attractive compensation package awaits the successful candidate. A Culture Like No Other Work/Life Balance: Experience the flexibility of working from home and maintaining a healthy work-life balance. Employee Recognition: Celebrate milestones with a $200 credit to spend in our iVenture Company Store on your anniversary and enjoy our quarterly team outings. Continuous Feedback: Engage in a culture of growth and improvement with our 360-degree feedback system-where your voice is heard and valued. iVenture is nationally certified as a "Great Place to Work" by our team because of our commitment to an employee-focused culture. Join iVenture Solutions, where your work impacts every day, driving resolutions and inspiring change for a better, more efficient, and secure future
11/13/2026
Full time
Job Description Job Description Description Senior Systems Engineer iVenture: No Mediocre Experiences Here At iVenture, we are more than just an IT company; we are a team of problem solvers and critical thinkers who personalize service and aim to do it right the first time. For over two decades, iVenture has built a legacy of excellence in solving IT problems with a relentless commitment to service, impacting our clients every day with expertise, execution, and experience. The Impact You Will Create As a Senior Systems Engineer, you will be at the forefront of driving high-impact projects that shape the IT infrastructure for our growing client base. Your role is pivotal in designing, implementing, and supporting advanced solutions influencing both internal operations and our external clients' success directly. Key Responsibilities We are seeking a self-starter who can: Strategically implement and support Microsoft Windows server technologies and related applications. Configure and optimize network equipment like switches, firewalls, and routers. Lead system and network migration projects for networks ranging from 10 to 250 users, owning all aspects of data and application migrations. Organize and execute server, application and data migration projects, ranging from 2 days to 8 weeks in duration Tackle high-level projects with significant autonomy, scheduling, and problem-solving. Who You Are A dynamic IT professional with: A Bachelor's Degree in a related field or equivalent experience. 5+ years in supporting Windows desktop technologies and client/server applications in a Windows-based network environment including: Microsoft Windows Server, current/latest version of Exchange (or other enterprise mail systems) Active Directory, Group Policy Solid understanding of TCP/IP network fundamentals and related equipment (switches, routers, etc.) Virtualization experience required (VMWare/Hyper-V) All current Microsoft Desktop Operating Systems (7/8/10) Experience with VDI technologies required (XenApp/RDS or other virtual desktop infrastructure) Managing Microsoft Office 365 platform/Office Suite High level of knowledge on one or more specialized technologies, such as messaging, databases, Citrix, virtualization, etc. A drive for continuous learning and development A Day in the Life You will interact with team members and clients regularly on technology design and planning, project scopes, iVenture accepted practices, and issue resolution. Your time during a typical week will be spent on 70% server/network projects, 20% design, support escalations and root cause identification, 5% training, and 5% admin/meetings. The ability to manage your schedule effectively is crucial, offering you flexibility and autonomy. While you'll have the freedom to shape your workdays, availability and ownership are key, with flex days provided to balance extensive work periods. Given the need for on-site client visits, you require a valid driver's license and reliable transportation. Smoking is prohibited at all client sites and iVenture offices. Successful applicants will also undergo criminal, employment, credit, and motor vehicle background checks to ensure alignment with our high standards. Why This Role Matters Your work directly impacts the efficiency and security of IT systems that empower our clients. You will: Contribute to critical IT solutions that enhance client operations. Engage with team members and clients to ensure the delivery of high-standard IT services. Provide mentorship and expertise within our team, shaping the future of our culture and IT landscape. Benefits iVenture: A Place to Thrive Your Path Here Measured Impact: Your performance will be measured through billable hours, ticket SLA adherence, and successful completion of projects on time and within budget. Growth Opportunities: With dedicated career paths, you have great growth potential. Start in a junior role and work your way up or pivot into a principal consultant or solution sales engineer roles, shaping strategic IT roadmaps for our clients. In fact, iVenture had 59 internal promotions last year alone! Robust Benefits and Fair Compensation Comprehensive Insurance Plans: Enjoy a competitive benefits package that includes life insurance and long-term disability coverage. Retirement Savings: Benefit from a 401K plan with a 4% match to help secure your future. Health and Wellness: Stay active with a FitOn membership, offering free sessions at local gyms and studios. Paid Time Off: Start with 3 weeks of paid time off in your first year, increasing to 4 weeks in your second year. Family Support: Take advantage of paid maternity, paternity, and foster leave to support your family needs. Professional Development: Enhance your skills with paid certifications, training days, and access to our virtual lab. Salary: An attractive compensation package awaits the successful candidate. A Culture Like No Other Work/Life Balance: Experience the flexibility of working from home and maintaining a healthy work-life balance. Employee Recognition: Celebrate milestones with a $200 credit to spend in our iVenture Company Store on your anniversary and enjoy our quarterly team outings. Continuous Feedback: Engage in a culture of growth and improvement with our 360-degree feedback system-where your voice is heard and valued. iVenture is nationally certified as a "Great Place to Work" by our team because of our commitment to an employee-focused culture. Join iVenture Solutions, where your work impacts every day, driving resolutions and inspiring change for a better, more efficient, and secure future
Job Description Job Description About Vision Vision is a leading GovTech firm providing market leading software to the public sector throughout the United States. Today, more than 430 cities, towns and counties are part of the Vision family, including marquee customers such as New York City and Washington, DC. As we continue to rapidy grow, we pride ourselves on the intense loyalty of our customer base, more than 50% of which have been with Vision for over 20 years. Learn more at . The person we are looking for This is a unique opportunity for a Senior Engineer who enjoys the "Product Owner" side of software development as much as the technical execution. You will be the primary technical lead for a mission-critical CAMA system, serving a stable base of 45 long-term customers. We are looking for a self-directed professional to take full ownership of this product's lifecycle. You are someone who finds satisfaction in high-level autonomy and enjoys being the bridge between internal stakeholders and technical delivery. Beyond writing code, you will be the key architect of our delivery process-modernizing how we document, track, and release software to ensure this product remains a gold standard for our users. Summary of Role & Responsibilities The Senior Software Engineer will be the lead steward for our CAMA application, responsible for both technical execution and the professionalization of the product delivery lifecycle. In this role, you aren't just completing coding tasks; you are a key partner in managing the pipeline of requests. Key roles & responsibilities include Partner with Support and internal teams to evaluate incoming requests, ensuring they are well-defined and validated before execution. Independently ramp up on the application's Delphi code base to become the primary subject matter expert on the system, ensuring continuity as it enters a sustainment phase. Lead the move to a more modern SDLC by transitioning to GitHub, establishing formal release notes, and creating the technical documentation foundation necessary for long-term stability. Deliver minor enhancements and annual updates while maintaining rigorous standards to prevent regressions and ensure high system reliability for our 45 customers. Provide weekly plans and output summaries for broader team review to align activities with strategic plans. Learn application design to a sufficient level to perform customer data conversions to migrate a customer from a legacy CAMA system to our CAMA system. Participate in cross functional technical design sessions to support strategic technical discussions involving CAMA Professional experience than can help you succeed Can you believe that Woolly Mammoths were still alive when tax bills were first issued? Taxation has existed in various forms since civilization began! The earliest known tax records, dating from approximately six thousand years B.C., were in the form of clay tablets found in the ancient city-state of Lagash, which is in modern day Iraq. It's amazing, but true! Leading a digital transformation in an industry with that level of maturity requires more than just technical aptitude. It takes creativity, patience, and persistence! Nevertheless, it certainly doesn't hurt to have a wealth of technical experience. Below is a list of experiences that would help you succeed in this role. It's okay if you don't meet each item if you are willing to dig into the challenges and learn fast! 7+ years of software development experience with strong proficiency in Delphi and SQL. Proven experience in technical design and application architecture for enterprise systems Experience with SQL Server and data modeling In-depth knowledge of Structured Query Language (SQL) Excellent communication and collaboration skills Exceptional problem-solving skills and attention to detail Excellent written and verbal communication Flexible, team player, "get-it-done" personality Ability to organize and plan work independently Ability to work in a rapidly changing environment Ability to multi-task and context-switch effectively between different activities and teams Our company is an Equal Opportunity Employer and committed to a diverse and inclusive workplace. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We maintain a drug-free workplace. Equal Employment Opportunity Vision Government Solutions is an Equal Opportunity Employer and committed to a diverse and inclusive workplace. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We're proud to be an equal opportunity employer and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability and Veteran status. Vision Government Solutions maintains a drug-free workplace. Powered by JazzHR YcUQOk6AAI
11/12/2026
Full time
Job Description Job Description About Vision Vision is a leading GovTech firm providing market leading software to the public sector throughout the United States. Today, more than 430 cities, towns and counties are part of the Vision family, including marquee customers such as New York City and Washington, DC. As we continue to rapidy grow, we pride ourselves on the intense loyalty of our customer base, more than 50% of which have been with Vision for over 20 years. Learn more at . The person we are looking for This is a unique opportunity for a Senior Engineer who enjoys the "Product Owner" side of software development as much as the technical execution. You will be the primary technical lead for a mission-critical CAMA system, serving a stable base of 45 long-term customers. We are looking for a self-directed professional to take full ownership of this product's lifecycle. You are someone who finds satisfaction in high-level autonomy and enjoys being the bridge between internal stakeholders and technical delivery. Beyond writing code, you will be the key architect of our delivery process-modernizing how we document, track, and release software to ensure this product remains a gold standard for our users. Summary of Role & Responsibilities The Senior Software Engineer will be the lead steward for our CAMA application, responsible for both technical execution and the professionalization of the product delivery lifecycle. In this role, you aren't just completing coding tasks; you are a key partner in managing the pipeline of requests. Key roles & responsibilities include Partner with Support and internal teams to evaluate incoming requests, ensuring they are well-defined and validated before execution. Independently ramp up on the application's Delphi code base to become the primary subject matter expert on the system, ensuring continuity as it enters a sustainment phase. Lead the move to a more modern SDLC by transitioning to GitHub, establishing formal release notes, and creating the technical documentation foundation necessary for long-term stability. Deliver minor enhancements and annual updates while maintaining rigorous standards to prevent regressions and ensure high system reliability for our 45 customers. Provide weekly plans and output summaries for broader team review to align activities with strategic plans. Learn application design to a sufficient level to perform customer data conversions to migrate a customer from a legacy CAMA system to our CAMA system. Participate in cross functional technical design sessions to support strategic technical discussions involving CAMA Professional experience than can help you succeed Can you believe that Woolly Mammoths were still alive when tax bills were first issued? Taxation has existed in various forms since civilization began! The earliest known tax records, dating from approximately six thousand years B.C., were in the form of clay tablets found in the ancient city-state of Lagash, which is in modern day Iraq. It's amazing, but true! Leading a digital transformation in an industry with that level of maturity requires more than just technical aptitude. It takes creativity, patience, and persistence! Nevertheless, it certainly doesn't hurt to have a wealth of technical experience. Below is a list of experiences that would help you succeed in this role. It's okay if you don't meet each item if you are willing to dig into the challenges and learn fast! 7+ years of software development experience with strong proficiency in Delphi and SQL. Proven experience in technical design and application architecture for enterprise systems Experience with SQL Server and data modeling In-depth knowledge of Structured Query Language (SQL) Excellent communication and collaboration skills Exceptional problem-solving skills and attention to detail Excellent written and verbal communication Flexible, team player, "get-it-done" personality Ability to organize and plan work independently Ability to work in a rapidly changing environment Ability to multi-task and context-switch effectively between different activities and teams Our company is an Equal Opportunity Employer and committed to a diverse and inclusive workplace. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We maintain a drug-free workplace. Equal Employment Opportunity Vision Government Solutions is an Equal Opportunity Employer and committed to a diverse and inclusive workplace. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We're proud to be an equal opportunity employer and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability and Veteran status. Vision Government Solutions maintains a drug-free workplace. Powered by JazzHR YcUQOk6AAI
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
11/12/2026
Full time
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
Job Description Job Description What Success Looks Like (Objectives): Backlog & Sprint Execution: Own, refine, and prioritize the product backlog for Workday Compensation and Benefits feature sets, driving execution within an Agile delivery model. Functional Requirement Engineering: Translate complex Total Rewards policies, executive compensation plans, and benefits programs into user stories, functional design specs, and Workday business process configurations. Stakeholder Collaboration & Change Management: Partner closely with Total Rewards leadership, Payroll, HR Operations, and HR Business Partners to gather requirements, manage scope expectations, and roll out feature updates. Workday Configuration & Technical Oversight: Maintain deep functional ownership of Workday Compensation, Advanced Compensation, and Benefits modules, including plan setups, eligibility rules, business processes, and outbound integration specs. Deterministic Quality Assurance: Lead End-to-End and User Acceptance Testing (UAT) for annual cycles, patch releases, and system upgrades based on clear "Pass/Fail" criteria to ensure zero-defect rollouts. Vendor & Partner Management: Coordinate with benefits administration partners, insurance carriers, and third-party implementation consultants on API integrations, file feeds, and issue resolution. ROI & Analytics Tracking: Track product adoption, system utilization, and data accuracy metrics to optimize business processes and measure ROI on Workday investments. Core Skills, Competencies, and Key Experiences (What you'll bring) Education and Experience: Bachelor's degree in Information Systems, Business Administration, Human Resources, Finance, or a related field. Minimum of 4+ years of experience supporting, configuring, or leading enterprise platforms, specifically focused on Compensation, Advanced Compensation, and Benefits modules. Preferred: 2+ years of experience in a Product Owner or Systems Analyst role within an Agile/Scrum delivery model. Preferred: Certified Workday Pro in Compensation or Benefits. General & Technical Skills: Total Rewards & Workday Expertise: Hands-on experience configuring Workday eligibility rules, grade profiles, merit/bonus matrices, open enrollment events, and benefits groups. Analytical Excellence: Strong analytical and advanced problem-solving skills, with the ability to diagnose complex audit exceptions and technical data flow issues. Strategic Communication: Excellent communication and interpersonal skills, capable of explaining complex Workday concepts to non-technical HR leaders. Autonomy: Proven ability to work independently, handle highly sensitive compensation data with discretion, and deliver under tight deadlines during annual rewards cycles. Agile Proficiency: Practical experience managing user stories, acceptance criteria, and sprint prioritization in tools like Jira or Azure DevOps. Compliance Awareness: Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and compensation compliance standards (e.g., FLSA, Pay Transparency laws) as they relate to HRIS data. Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $83160 - $136625/YearlyAbout our Department In Human Resources, we collaborate with the innovators who drive EchoStar's creative ambition. Our mission is to transform HR technology tools and create a world-class employee experience. This team is responsible for managing and optimizing our critical HR Applications, driving positive change for the company and our team members. About Our Company EchoStar builds solutions that help families and communities stay connected. Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes, and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
11/11/2026
Full time
Job Description Job Description What Success Looks Like (Objectives): Backlog & Sprint Execution: Own, refine, and prioritize the product backlog for Workday Compensation and Benefits feature sets, driving execution within an Agile delivery model. Functional Requirement Engineering: Translate complex Total Rewards policies, executive compensation plans, and benefits programs into user stories, functional design specs, and Workday business process configurations. Stakeholder Collaboration & Change Management: Partner closely with Total Rewards leadership, Payroll, HR Operations, and HR Business Partners to gather requirements, manage scope expectations, and roll out feature updates. Workday Configuration & Technical Oversight: Maintain deep functional ownership of Workday Compensation, Advanced Compensation, and Benefits modules, including plan setups, eligibility rules, business processes, and outbound integration specs. Deterministic Quality Assurance: Lead End-to-End and User Acceptance Testing (UAT) for annual cycles, patch releases, and system upgrades based on clear "Pass/Fail" criteria to ensure zero-defect rollouts. Vendor & Partner Management: Coordinate with benefits administration partners, insurance carriers, and third-party implementation consultants on API integrations, file feeds, and issue resolution. ROI & Analytics Tracking: Track product adoption, system utilization, and data accuracy metrics to optimize business processes and measure ROI on Workday investments. Core Skills, Competencies, and Key Experiences (What you'll bring) Education and Experience: Bachelor's degree in Information Systems, Business Administration, Human Resources, Finance, or a related field. Minimum of 4+ years of experience supporting, configuring, or leading enterprise platforms, specifically focused on Compensation, Advanced Compensation, and Benefits modules. Preferred: 2+ years of experience in a Product Owner or Systems Analyst role within an Agile/Scrum delivery model. Preferred: Certified Workday Pro in Compensation or Benefits. General & Technical Skills: Total Rewards & Workday Expertise: Hands-on experience configuring Workday eligibility rules, grade profiles, merit/bonus matrices, open enrollment events, and benefits groups. Analytical Excellence: Strong analytical and advanced problem-solving skills, with the ability to diagnose complex audit exceptions and technical data flow issues. Strategic Communication: Excellent communication and interpersonal skills, capable of explaining complex Workday concepts to non-technical HR leaders. Autonomy: Proven ability to work independently, handle highly sensitive compensation data with discretion, and deliver under tight deadlines during annual rewards cycles. Agile Proficiency: Practical experience managing user stories, acceptance criteria, and sprint prioritization in tools like Jira or Azure DevOps. Compliance Awareness: Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and compensation compliance standards (e.g., FLSA, Pay Transparency laws) as they relate to HRIS data. Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $83160 - $136625/YearlyAbout our Department In Human Resources, we collaborate with the innovators who drive EchoStar's creative ambition. Our mission is to transform HR technology tools and create a world-class employee experience. This team is responsible for managing and optimizing our critical HR Applications, driving positive change for the company and our team members. About Our Company EchoStar builds solutions that help families and communities stay connected. Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes, and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
Job Description Job Description About is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale - sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization - making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer - and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory. Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health. Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns. Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives. Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions. Identify and address inefficiencies in inventory utilization - including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving. Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance - at the scale of programmatic data volumes. Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making. Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers. Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic. Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue. Build evaluation frameworks that go beyond offline metrics - validating model behavior in live auction environments where feedback signals are delayed or noisy. Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops Research and implement adaptive, self-learning components within the programmatic stack - including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate. Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides. Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly. Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse. Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems). Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack. Production ML engineering: Proven ability to take models from prototype to production independently - including real-time inference, monitoring, retraining pipelines, and SLO ownership. Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems. Technical skills: Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks). Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference). Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining. Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events. Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques). Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums. Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have Direct experience with SSP, DSP, or exchange-side yield optimization - particularly floor price optimization, bid landscape modeling, or deal matching algorithms. Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML. Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems. Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions. Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling). Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training. Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts. Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist - you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack click apply for full job details
11/11/2026
Full time
Job Description Job Description About is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale - sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization - making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer - and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory. Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health. Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns. Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives. Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions. Identify and address inefficiencies in inventory utilization - including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving. Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance - at the scale of programmatic data volumes. Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making. Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers. Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic. Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue. Build evaluation frameworks that go beyond offline metrics - validating model behavior in live auction environments where feedback signals are delayed or noisy. Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops Research and implement adaptive, self-learning components within the programmatic stack - including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate. Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides. Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly. Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse. Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems). Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack. Production ML engineering: Proven ability to take models from prototype to production independently - including real-time inference, monitoring, retraining pipelines, and SLO ownership. Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems. Technical skills: Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks). Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference). Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining. Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events. Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques). Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums. Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have Direct experience with SSP, DSP, or exchange-side yield optimization - particularly floor price optimization, bid landscape modeling, or deal matching algorithms. Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML. Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems. Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions. Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling). Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training. Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts. Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist - you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack click apply for full job details
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. About the Role Braze is making AI the default way of working across the company. Our Applied AI Architects are forward-deployed practitioners who combine domain judgment with hands-on build capability: they embed with business teams, treat employees as users and workflows as product surfaces, and ship working agents on shared infrastructure. The function runs in two tracks. GTM Architects are permanently embedded in the GTM organization, each owning a portion of a customer and prospect lifecycle that spans Marketing, Sales, Customer Success, and Support; when they address friction in one stage, they work the surrounding levers holistically, mapping how those functions connect today and how AI could connect them better. G&A Architects rotate across corporate functions like Finance, People, Legal, and Operations, driving each cohort to self-sufficiency. You will lead this team. That means defining how a new role category operates, owning the portfolio of engagements across the business, and answering for the outcomes: adoption that persists, workflows that measurably improve, and committed bets that read out in business metrics like sales ramp time, quota capacity, and competitive win rate. This is a player-coach role. You will carry enough build and field surface yourself to keep your judgment current, while your primary output is the team: who they are, where they embed, what they ship, and whether it works. You inherit the hiring manager seat for all Architect roles, a unified interview loop, and an operating model with real momentum. What the function becomes from there is yours to shape, in close partnership with our Director of Applied AI Product, the CIO and CTO organizations, and the leaders of the functions your team serves. What You'll Do Build the team. Close the open Architect reqs across both tracks (GTM and G&A), then own onboarding, development, and performance for a team of senior, highly autonomous ICs operating in a role category that barely exists in the market. Define what good looks like and what the career path is. Own the engagement portfolio. Decide where Architects embed, what they prioritize, and when they rotate or scale back. Balance permanent GTM surface ownership against rotational G&A engagements. Say no to good ideas so the team ships great ones. Answer for the bets. Own delivery and measurement of the committed GTM bets (sales ramp time, quota capacity / customer-facing time, competitive win rate) and run the promotion pipeline for G&A candidate bets. Every bet pairs a business outcome with leading indicators; you keep both honest. Run the operating discipline. Enforce the engagement lifecycle (discovery, prioritization, readout, design, build, deliver, monitor) and the cohort maturity model. Adoption is the bar: an ignored output is a bug, and your team operates what it ships until it is productized. Stay hands-on. Review agent designs, specs, and output quality at the system level. Carry a build surface of your own. Your field and build credibility is what earns the team its seat in pipeline reviews and functional staff meetings. Compound through the platform. Partner with the Director of Applied AI Product to move field-proven patterns into shared infrastructure, and to feed field reality back into platform requirements, evaluation criteria, and measurement frameworks. Be the executive interface. Negotiate embed agreements with CRO and CBO leadership and functional executives, represent the function's results and roadmap to senior leadership, and protect your team's focus when demand outstrips capacity, which it will. Write the playbook. The role category is being defined in real time across the industry. Document what works, publish it internally, and make Braze a reference point for how a scaled SaaS company runs applied AI. Who You Are A proven leader of senior technical ICs. You have built and led high-autonomy teams: forward-deployed engineering, solutions consulting or architecture, field engineering, or an applied AI/ML group. You know how to manage outcomes without hovering, and how to coach people more specialized than you. A builder with current hands. You have personally built AI agents, automations, or LLM-powered tools that changed how real work gets done, and you can evaluate someone else's system design, retrieval logic, and output quality without an interpreter. Credible in the field. You have spent real time in or alongside the commercial motion of a B2B SaaS company. You can sit in a pipeline review, an EBR, or a functional leadership meeting and have the room take you seriously. A portfolio operator. You think in terms of impact, feasibility, and sequencing across many competing demands, and you can defend your prioritization to executives who wanted a different answer. Fluent in measurement. You can design a baseline, argue a leading indicator, dollarize an efficiency gain, and tell the difference between a metric that proves a mechanism and one that flatters a narrative. A zero-to-one leader. You have stood up a function, practice, or team where no playbook existed, and you are comfortable being accountable for results while the ground is still moving. Minimum Requirements 10+ years of professional experience spanning GTM-adjacent technical work (solutions consulting/architecture, field or forward-deployed engineering, technical GTM strategy) and hands-on building 3+ years leading senior individual contributors, with evidence you developed and retained them Demonstrated, hands-on experience building AI-powered tools, agents, or workflows that transformed real work, with concrete examples you can speak to in depth Track record of standing up a new team, practice, or function and scaling it past your own personal capacity Executive-level communication and stakeholder management, including negotiating priorities with senior leaders Experience defining and defending business-impact measurement for a technical team Bonus Points You have led forward-deployed engineering or applied AI teams at a model lab, an AI-native company, or a scaled enterprise SaaS business You have shipped with modern agentic tooling (Claude, Claude Code, Cursor, custom agent frameworks, MCP-style integrations) and enterprise GTM stacks (Salesforce, Gong, Slack, Snowflake) You have run engagement- or rotation-based operating models (consulting, embedded product teams, customer zero programs) You have hired for hard-to-define roles and built interview systems that actually predicted performance Why This Role Matters The judgment of a company's best practitioners has always been its scarcest asset. The technology now exists to encode that judgment into systems that deliver it at scale, and Braze has committed the budget, the executive backing, and the operating model to do it. What the function needs now is the leader who turns a funded plan and a strong first hire into a team the rest of the company builds its expectations around. The window to define this role category, inside Braze and across the industry, is open right now. For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $193,000 and $276,000/year, with an expected On Target Earnings (OTE) between $241,000 and $345,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity . click apply for full job details
11/07/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. About the Role Braze is making AI the default way of working across the company. Our Applied AI Architects are forward-deployed practitioners who combine domain judgment with hands-on build capability: they embed with business teams, treat employees as users and workflows as product surfaces, and ship working agents on shared infrastructure. The function runs in two tracks. GTM Architects are permanently embedded in the GTM organization, each owning a portion of a customer and prospect lifecycle that spans Marketing, Sales, Customer Success, and Support; when they address friction in one stage, they work the surrounding levers holistically, mapping how those functions connect today and how AI could connect them better. G&A Architects rotate across corporate functions like Finance, People, Legal, and Operations, driving each cohort to self-sufficiency. You will lead this team. That means defining how a new role category operates, owning the portfolio of engagements across the business, and answering for the outcomes: adoption that persists, workflows that measurably improve, and committed bets that read out in business metrics like sales ramp time, quota capacity, and competitive win rate. This is a player-coach role. You will carry enough build and field surface yourself to keep your judgment current, while your primary output is the team: who they are, where they embed, what they ship, and whether it works. You inherit the hiring manager seat for all Architect roles, a unified interview loop, and an operating model with real momentum. What the function becomes from there is yours to shape, in close partnership with our Director of Applied AI Product, the CIO and CTO organizations, and the leaders of the functions your team serves. What You'll Do Build the team. Close the open Architect reqs across both tracks (GTM and G&A), then own onboarding, development, and performance for a team of senior, highly autonomous ICs operating in a role category that barely exists in the market. Define what good looks like and what the career path is. Own the engagement portfolio. Decide where Architects embed, what they prioritize, and when they rotate or scale back. Balance permanent GTM surface ownership against rotational G&A engagements. Say no to good ideas so the team ships great ones. Answer for the bets. Own delivery and measurement of the committed GTM bets (sales ramp time, quota capacity / customer-facing time, competitive win rate) and run the promotion pipeline for G&A candidate bets. Every bet pairs a business outcome with leading indicators; you keep both honest. Run the operating discipline. Enforce the engagement lifecycle (discovery, prioritization, readout, design, build, deliver, monitor) and the cohort maturity model. Adoption is the bar: an ignored output is a bug, and your team operates what it ships until it is productized. Stay hands-on. Review agent designs, specs, and output quality at the system level. Carry a build surface of your own. Your field and build credibility is what earns the team its seat in pipeline reviews and functional staff meetings. Compound through the platform. Partner with the Director of Applied AI Product to move field-proven patterns into shared infrastructure, and to feed field reality back into platform requirements, evaluation criteria, and measurement frameworks. Be the executive interface. Negotiate embed agreements with CRO and CBO leadership and functional executives, represent the function's results and roadmap to senior leadership, and protect your team's focus when demand outstrips capacity, which it will. Write the playbook. The role category is being defined in real time across the industry. Document what works, publish it internally, and make Braze a reference point for how a scaled SaaS company runs applied AI. Who You Are A proven leader of senior technical ICs. You have built and led high-autonomy teams: forward-deployed engineering, solutions consulting or architecture, field engineering, or an applied AI/ML group. You know how to manage outcomes without hovering, and how to coach people more specialized than you. A builder with current hands. You have personally built AI agents, automations, or LLM-powered tools that changed how real work gets done, and you can evaluate someone else's system design, retrieval logic, and output quality without an interpreter. Credible in the field. You have spent real time in or alongside the commercial motion of a B2B SaaS company. You can sit in a pipeline review, an EBR, or a functional leadership meeting and have the room take you seriously. A portfolio operator. You think in terms of impact, feasibility, and sequencing across many competing demands, and you can defend your prioritization to executives who wanted a different answer. Fluent in measurement. You can design a baseline, argue a leading indicator, dollarize an efficiency gain, and tell the difference between a metric that proves a mechanism and one that flatters a narrative. A zero-to-one leader. You have stood up a function, practice, or team where no playbook existed, and you are comfortable being accountable for results while the ground is still moving. Minimum Requirements 10+ years of professional experience spanning GTM-adjacent technical work (solutions consulting/architecture, field or forward-deployed engineering, technical GTM strategy) and hands-on building 3+ years leading senior individual contributors, with evidence you developed and retained them Demonstrated, hands-on experience building AI-powered tools, agents, or workflows that transformed real work, with concrete examples you can speak to in depth Track record of standing up a new team, practice, or function and scaling it past your own personal capacity Executive-level communication and stakeholder management, including negotiating priorities with senior leaders Experience defining and defending business-impact measurement for a technical team Bonus Points You have led forward-deployed engineering or applied AI teams at a model lab, an AI-native company, or a scaled enterprise SaaS business You have shipped with modern agentic tooling (Claude, Claude Code, Cursor, custom agent frameworks, MCP-style integrations) and enterprise GTM stacks (Salesforce, Gong, Slack, Snowflake) You have run engagement- or rotation-based operating models (consulting, embedded product teams, customer zero programs) You have hired for hard-to-define roles and built interview systems that actually predicted performance Why This Role Matters The judgment of a company's best practitioners has always been its scarcest asset. The technology now exists to encode that judgment into systems that deliver it at scale, and Braze has committed the budget, the executive backing, and the operating model to do it. What the function needs now is the leader who turns a funded plan and a strong first hire into a team the rest of the company builds its expectations around. The window to define this role category, inside Braze and across the industry, is open right now. For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $193,000 and $276,000/year, with an expected On Target Earnings (OTE) between $241,000 and $345,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity . click apply for full job details
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
10/07/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/30/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/29/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
09/28/2026
Full time
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
09/28/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description About Valitana Valitana is a rapid growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows. With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023. Position Overview Valitana is seeking a Senior Full-Stack Technical Lead (backend-focused) to help accelerate technology and business growth within a FinTech, client-facing environment. This role is suited for a hands-on senior engineer and technical leader with strong system-design instincts for data-intensive applications, who thrives in a fast-paced, collaborative setting and takes ownership of delivering reliable, scalable, and secure software solutions. The ideal candidate combines deep hands-on technical expertise with the ability to lead, mentor, and influence other developers, while maintaining a strong product- and client-oriented mindset. This individual will play a key role in shaping both the platform and the people building it. Responsibilities Contribute to data-intensive, client-facing FinTech applications with a focus on scalability, performance, security, and correctness. Own feature areas, services, and components end-to-end-from design and implementation through production support-while guiding other engineers through delivery. Own technical design and delivery for a defined domain or service area. Ensure delivery meets functional and non-functional requirements. Lead technical execution for client-facing initiatives, partnering closely with product, business, and client stakeholders to translate requirements into robust, maintainable solutions. Provide technical leadership and day-to-day guidance to engineers, including reviewing work, mentoring team members, and helping raise the technical bar. Lead and manage a small team of engineers, supporting career growth and skill development. Act as primary technical escalation point for the domain and team. Operate with a high degree of autonomy within agreed architectural boundaries while helping set technical direction, priorities, and execution plans within the broader engineering organization. Uphold and reinforce coding standards, API design, architectural principles, and engineering best practices, contributing to their ongoing evolution. Proactively identify technical risks, design trade-offs, and delivery challenges, collaborating with peers and leadership to drive resolution. Foster a culture of quality and accountability through thoughtful code reviews, documentation, knowledge sharing, and cross-team collaboration. Qualifications 8+ years of experience as a Full-Stack or Back-End Developer within the FinTech or broader technology space. Experience leading multi-quarter technical initiatives. Ability to balance business delivery with long-term platform improvements. Experience leading, mentoring, or managing engineers, including providing technical guidance, conducting code reviews, supporting career development, and influencing technical direction. Strong proficiency in server-side programming languages and technologies - C#/.Net, ASP.Net Core, Entity Framework, SQL, Python is a plus. Experience with web frameworks and technologies - Angular, Javascript, Typescript. Strong understanding of agile development methodologies, with experience operating in fast-paced, iterative environments. Proven ability to operate as a self-starter and technical leader, balancing hands-on execution with strategic thinking and team collaboration. Experience designing, building, or supporting cloud-based architectures; familiarity with cloud-hosted systems (e.g., AWS, Azure, GCP) is highly desirable. Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred: Experience or familiarity with financial products, particularly structured products. Experience leading or managing a team of 5-10 engineers, with 1-2 years of direct management experience is a plus. What We Offer The base salary range for this role is $170,000 to $210,000. Valitana offers a competitive compensation package which includes base salary and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, healthcare with medical, dental, vision, telemedicine, and PTO. Employees in this role will work in the office Mondays through Wednesdays with the flexibility to work remotely Thursdays and Fridays. Assessment and Automated Screening Tools As part of this hiring process, you may be asked to complete a technical assessment administered through HackerRank, a third-party platform. By participating, advancing, or completing the assessment you are consenting to HackerRank possibly using automated features to evaluate or score the submitted work, and information about your submission is processed by that platform. Categories of data processed: The code or written work you submit, assessment scores, completion time, and, if enabled, session activity data. Source of that data is the information you provide directly by completing the assessment. How it is assessed: A Valitana employee reviews assessment results, and no hiring decision is made solely on the basis of an automated score. If you would like more information about how the assessment is evaluated contact Valitana Human Resources at . Equal Opportunity and Accommodation Valitana is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, pregnancy, veteran or military status, genetic information, or any other characteristic protected by federal or Connecticut law. If you need a reasonable accommodation to apply, interview, complete an assessment, or otherwise participate in this hiring process, contact the Human Resources team at . Requesting an accommodation will not affect how your application is considered. Powered by JazzHR UtEVAIiSzB
09/26/2026
Full time
Job Description Job Description About Valitana Valitana is a rapid growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows. With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023. Position Overview Valitana is seeking a Senior Full-Stack Technical Lead (backend-focused) to help accelerate technology and business growth within a FinTech, client-facing environment. This role is suited for a hands-on senior engineer and technical leader with strong system-design instincts for data-intensive applications, who thrives in a fast-paced, collaborative setting and takes ownership of delivering reliable, scalable, and secure software solutions. The ideal candidate combines deep hands-on technical expertise with the ability to lead, mentor, and influence other developers, while maintaining a strong product- and client-oriented mindset. This individual will play a key role in shaping both the platform and the people building it. Responsibilities Contribute to data-intensive, client-facing FinTech applications with a focus on scalability, performance, security, and correctness. Own feature areas, services, and components end-to-end-from design and implementation through production support-while guiding other engineers through delivery. Own technical design and delivery for a defined domain or service area. Ensure delivery meets functional and non-functional requirements. Lead technical execution for client-facing initiatives, partnering closely with product, business, and client stakeholders to translate requirements into robust, maintainable solutions. Provide technical leadership and day-to-day guidance to engineers, including reviewing work, mentoring team members, and helping raise the technical bar. Lead and manage a small team of engineers, supporting career growth and skill development. Act as primary technical escalation point for the domain and team. Operate with a high degree of autonomy within agreed architectural boundaries while helping set technical direction, priorities, and execution plans within the broader engineering organization. Uphold and reinforce coding standards, API design, architectural principles, and engineering best practices, contributing to their ongoing evolution. Proactively identify technical risks, design trade-offs, and delivery challenges, collaborating with peers and leadership to drive resolution. Foster a culture of quality and accountability through thoughtful code reviews, documentation, knowledge sharing, and cross-team collaboration. Qualifications 8+ years of experience as a Full-Stack or Back-End Developer within the FinTech or broader technology space. Experience leading multi-quarter technical initiatives. Ability to balance business delivery with long-term platform improvements. Experience leading, mentoring, or managing engineers, including providing technical guidance, conducting code reviews, supporting career development, and influencing technical direction. Strong proficiency in server-side programming languages and technologies - C#/.Net, ASP.Net Core, Entity Framework, SQL, Python is a plus. Experience with web frameworks and technologies - Angular, Javascript, Typescript. Strong understanding of agile development methodologies, with experience operating in fast-paced, iterative environments. Proven ability to operate as a self-starter and technical leader, balancing hands-on execution with strategic thinking and team collaboration. Experience designing, building, or supporting cloud-based architectures; familiarity with cloud-hosted systems (e.g., AWS, Azure, GCP) is highly desirable. Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred: Experience or familiarity with financial products, particularly structured products. Experience leading or managing a team of 5-10 engineers, with 1-2 years of direct management experience is a plus. What We Offer The base salary range for this role is $170,000 to $210,000. Valitana offers a competitive compensation package which includes base salary and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, healthcare with medical, dental, vision, telemedicine, and PTO. Employees in this role will work in the office Mondays through Wednesdays with the flexibility to work remotely Thursdays and Fridays. Assessment and Automated Screening Tools As part of this hiring process, you may be asked to complete a technical assessment administered through HackerRank, a third-party platform. By participating, advancing, or completing the assessment you are consenting to HackerRank possibly using automated features to evaluate or score the submitted work, and information about your submission is processed by that platform. Categories of data processed: The code or written work you submit, assessment scores, completion time, and, if enabled, session activity data. Source of that data is the information you provide directly by completing the assessment. How it is assessed: A Valitana employee reviews assessment results, and no hiring decision is made solely on the basis of an automated score. If you would like more information about how the assessment is evaluated contact Valitana Human Resources at . Equal Opportunity and Accommodation Valitana is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, pregnancy, veteran or military status, genetic information, or any other characteristic protected by federal or Connecticut law. If you need a reasonable accommodation to apply, interview, complete an assessment, or otherwise participate in this hiring process, contact the Human Resources team at . Requesting an accommodation will not affect how your application is considered. Powered by JazzHR UtEVAIiSzB
