Senior IT Telephony Engineer - Outbound Specialist Five9 Platform Wesley LLC Franklin, TN Full-Time, Exempt About Wesley LLC Wesley LLC is a high-growth company headquartered in Franklin, Tennessee. We operate a specialized sales organization with 90 setters, 30 closers, and over 200 corporate users executing over 1.1 million outbound calls annually. Our team moves fast, sets high standards, and invests in the tools and talent needed to win. We are building out our telephony infrastructure for the long term and are looking for the right person to own it. The Opportunity We are looking for a high-impact Lead Telephony Engineer to own the buildout and long-term operation of our Five9 platform. This is a greenfield implementation. Wesley is migrating from Dialpad and needs someone who can start up Five9 from the ground up, replicate and improve our existing functionality, then drive continuous optimization from there. Reporting directly to the CTO, you will be the technical authority on all things Five9. You will also mentor and level up a small supporting team of 2-3 engineers with varying degrees of telephony depth. This is an individual contributor role with real technical authority, not a management track. The right person wants to go deep on the platform, not up the org chart. Key Responsibilities Five9 Platform Ownership: Lead the full migration from Dialpad to Five9. Greenfield buildout, feature parity, then optimization. Own all administrative and technical configuration of the platform long-term. Migration Execution: Translate existing Dialpad workflows, routing logic, and outbound cadences into Five9. Identify gaps and improvements in the process rather than copying problems forward. Infrastructure & Carrier Management: Manage the technical relationship with our dedicated carriers to ensure Tier-1 voice quality, high answer rates, and consistent deliverability. System Integration: Build and maintain deep integrations between Five9 and Salesforce, NetSuite, and Zapier to ensure clean data flow, accurate lead attribution, and automated workflows. Outbound Cadence Engineering: Design and iterate on complex outbound sequences blending voice, SMS, and digital touchpoints. You are optimizing connect rates and agent efficiency, not just keeping the lights on. Compliance & Deliverability: Own STIR/SHAKEN compliance, 10DLC registration for SMS, and ongoing reputation management to protect deliverability at scale. Team Mentorship: Work alongside and actively develop a team of 2-3 supporting engineers: one solid mid-level and one to two engineers with adjacent technical backgrounds building their telephony depth. Executive Collaboration: Serve as the technical advisor to senior leadership on platform performance, translating Five9 metrics and operational data into clear business decisions. The Ideal Candidate Deep, hands-on Five9 expertise. You have built, administered, and optimized Five9 environments in high-volume outbound contexts. Certifications are not the signal; demonstrated platform mastery is. Has executed a platform migration before and knows where the friction hides-routing logic, data mapping, agent workflow disruption. Fluent in SIP trunking, WebRTC, and API-driven workflow design. Understands dialer modes (Predictive, Progressive, Power) and can make intelligent decisions about when and why to use each. Comfortable with the full regulatory landscape, not just aware of it: TCPA, TSR, STIR/SHAKEN, 10DLC. Thinks in systems: can hold a deep technical conversation with network engineers and then pivot to a strategy discussion with senior leadership without losing altitude in either direction. Enjoys testing assumptions-whether a text-first cadence outperforms a call-first approach is a real question you want to answer with data. Collaborative by default. You will be elevating teammates, not gatekeeping expertise. Technical Environment Wesley's stack is Apple hardware, Google Workspace, Slack, and Salesforce as the primary business platform. Five9 will integrate into this ecosystem. Candidates should be adaptable to this environment-deep prior experience in each tool is not required, but comfort operating in it is. Qualifications Experience: 5+ years in high-volume Contact Center (CCaaS) engineering, with meaningful Five9 depth. Migration Experience: Demonstrated experience leading or owning a CCaaS platform migration in a production environment. Integrations: Proven experience integrating Five9 or comparable platforms with Salesforce and NetSuite. Proficiency with Zapier for automation and integration workflows. Outbound Expertise: Deep understanding of dialer modes and the regulatory landscape governing outbound contact operations (TCPA, TSR). Perks & Benefits Compensation & Financial Competitive salary commensurate with experience Weekly pay schedule 401(k) with company match Health & Wellness Medical, Dental, and Vision Insurance Employer-funded Health Savings Account (HSA) Access to on-site fitness center and wellness facilities In-office massage chairs Time Off 9 Paid Holidays + 2 Floating Holidays Paid Time Off (PTO) Outstanding work/life balance Culture & Growth MacBook provided for work Leadership training and advancement opportunities Continuous coaching from industry professionals Robust employee recognition programs Company-wide community outreach programs Fun, engaging company events and activities Spirited team environment with core values of teamwork and integrity Awards & Recognition USA TODAY Top Workplace 2025 The Tennessean Top Workplaces 2024 Great Place to Work Certified (2023, 2024) INC 500 Fastest Growing Company 75+ business awards since 2020 Location This role is based at Wesley's headquarters in Franklin, TN. We are ideally looking for someone who can work in the office, but we are open to hybrid or fully remote arrangements for the right candidate. Remote/Hybrid Eligibility: Wesley is currently set up to hire remote and hybrid employees in the following states only: AL, FL, GA, KS, KY, NC, NV, OH, TN, TX, VA, and WV. Regardless of location, quarterly travel to Franklin, TN headquarters is required. How to Apply If this sounds like you, we'd love to hear from you. Apply with your resume and a brief note on the most complex Five9 environment you've built or managed. PIb114b-6957
04/04/2026
Full time
Senior IT Telephony Engineer - Outbound Specialist Five9 Platform Wesley LLC Franklin, TN Full-Time, Exempt About Wesley LLC Wesley LLC is a high-growth company headquartered in Franklin, Tennessee. We operate a specialized sales organization with 90 setters, 30 closers, and over 200 corporate users executing over 1.1 million outbound calls annually. Our team moves fast, sets high standards, and invests in the tools and talent needed to win. We are building out our telephony infrastructure for the long term and are looking for the right person to own it. The Opportunity We are looking for a high-impact Lead Telephony Engineer to own the buildout and long-term operation of our Five9 platform. This is a greenfield implementation. Wesley is migrating from Dialpad and needs someone who can start up Five9 from the ground up, replicate and improve our existing functionality, then drive continuous optimization from there. Reporting directly to the CTO, you will be the technical authority on all things Five9. You will also mentor and level up a small supporting team of 2-3 engineers with varying degrees of telephony depth. This is an individual contributor role with real technical authority, not a management track. The right person wants to go deep on the platform, not up the org chart. Key Responsibilities Five9 Platform Ownership: Lead the full migration from Dialpad to Five9. Greenfield buildout, feature parity, then optimization. Own all administrative and technical configuration of the platform long-term. Migration Execution: Translate existing Dialpad workflows, routing logic, and outbound cadences into Five9. Identify gaps and improvements in the process rather than copying problems forward. Infrastructure & Carrier Management: Manage the technical relationship with our dedicated carriers to ensure Tier-1 voice quality, high answer rates, and consistent deliverability. System Integration: Build and maintain deep integrations between Five9 and Salesforce, NetSuite, and Zapier to ensure clean data flow, accurate lead attribution, and automated workflows. Outbound Cadence Engineering: Design and iterate on complex outbound sequences blending voice, SMS, and digital touchpoints. You are optimizing connect rates and agent efficiency, not just keeping the lights on. Compliance & Deliverability: Own STIR/SHAKEN compliance, 10DLC registration for SMS, and ongoing reputation management to protect deliverability at scale. Team Mentorship: Work alongside and actively develop a team of 2-3 supporting engineers: one solid mid-level and one to two engineers with adjacent technical backgrounds building their telephony depth. Executive Collaboration: Serve as the technical advisor to senior leadership on platform performance, translating Five9 metrics and operational data into clear business decisions. The Ideal Candidate Deep, hands-on Five9 expertise. You have built, administered, and optimized Five9 environments in high-volume outbound contexts. Certifications are not the signal; demonstrated platform mastery is. Has executed a platform migration before and knows where the friction hides-routing logic, data mapping, agent workflow disruption. Fluent in SIP trunking, WebRTC, and API-driven workflow design. Understands dialer modes (Predictive, Progressive, Power) and can make intelligent decisions about when and why to use each. Comfortable with the full regulatory landscape, not just aware of it: TCPA, TSR, STIR/SHAKEN, 10DLC. Thinks in systems: can hold a deep technical conversation with network engineers and then pivot to a strategy discussion with senior leadership without losing altitude in either direction. Enjoys testing assumptions-whether a text-first cadence outperforms a call-first approach is a real question you want to answer with data. Collaborative by default. You will be elevating teammates, not gatekeeping expertise. Technical Environment Wesley's stack is Apple hardware, Google Workspace, Slack, and Salesforce as the primary business platform. Five9 will integrate into this ecosystem. Candidates should be adaptable to this environment-deep prior experience in each tool is not required, but comfort operating in it is. Qualifications Experience: 5+ years in high-volume Contact Center (CCaaS) engineering, with meaningful Five9 depth. Migration Experience: Demonstrated experience leading or owning a CCaaS platform migration in a production environment. Integrations: Proven experience integrating Five9 or comparable platforms with Salesforce and NetSuite. Proficiency with Zapier for automation and integration workflows. Outbound Expertise: Deep understanding of dialer modes and the regulatory landscape governing outbound contact operations (TCPA, TSR). Perks & Benefits Compensation & Financial Competitive salary commensurate with experience Weekly pay schedule 401(k) with company match Health & Wellness Medical, Dental, and Vision Insurance Employer-funded Health Savings Account (HSA) Access to on-site fitness center and wellness facilities In-office massage chairs Time Off 9 Paid Holidays + 2 Floating Holidays Paid Time Off (PTO) Outstanding work/life balance Culture & Growth MacBook provided for work Leadership training and advancement opportunities Continuous coaching from industry professionals Robust employee recognition programs Company-wide community outreach programs Fun, engaging company events and activities Spirited team environment with core values of teamwork and integrity Awards & Recognition USA TODAY Top Workplace 2025 The Tennessean Top Workplaces 2024 Great Place to Work Certified (2023, 2024) INC 500 Fastest Growing Company 75+ business awards since 2020 Location This role is based at Wesley's headquarters in Franklin, TN. We are ideally looking for someone who can work in the office, but we are open to hybrid or fully remote arrangements for the right candidate. Remote/Hybrid Eligibility: Wesley is currently set up to hire remote and hybrid employees in the following states only: AL, FL, GA, KS, KY, NC, NV, OH, TN, TX, VA, and WV. Regardless of location, quarterly travel to Franklin, TN headquarters is required. How to Apply If this sounds like you, we'd love to hear from you. Apply with your resume and a brief note on the most complex Five9 environment you've built or managed. PIb114b-6957
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Auth0 Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-O global service to deliver convenience, privacy, and security so customers can focus on innovation. This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defence for Auth0 customers. The Staff Software Engineer At Okta, we're building the next generation of authentication for the GenAI era. We're looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation. This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the future of AI enablement in production systems. You'll collaborate across engineering, product, and security teams to drive meaningful improvements in developer tooling, agent authentication, orchestration frameworks, and real-world demos. What you will be doing: Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt) Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication You Might Be a Good Fit If You Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT Demonstrated experience leading architecture and design efforts for scalable, production-grade systems Comfort contributing to and maintaining open source projects and engaging with developer communities A passion for documentation as part of the developer experience - not just writing code, but making it understandable and usable Ability to thrive in highly collaborative environments with cross-functional stakeholders Technologies You May Work With Languages: JavaScript, TypeScript, Python Frameworks: React, Next.js, FastAPI AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits Auth0 Stack: Token Vault, Async Authorization, Fine-Grained Authorization (FGA) Remote Below is the annual base salary range for candidates located in California. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $188,000 - $282,000 USD. What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at
04/04/2026
Full time
Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Auth0 Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-O global service to deliver convenience, privacy, and security so customers can focus on innovation. This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defence for Auth0 customers. The Staff Software Engineer At Okta, we're building the next generation of authentication for the GenAI era. We're looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation. This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the future of AI enablement in production systems. You'll collaborate across engineering, product, and security teams to drive meaningful improvements in developer tooling, agent authentication, orchestration frameworks, and real-world demos. What you will be doing: Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt) Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication You Might Be a Good Fit If You Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT Demonstrated experience leading architecture and design efforts for scalable, production-grade systems Comfort contributing to and maintaining open source projects and engaging with developer communities A passion for documentation as part of the developer experience - not just writing code, but making it understandable and usable Ability to thrive in highly collaborative environments with cross-functional stakeholders Technologies You May Work With Languages: JavaScript, TypeScript, Python Frameworks: React, Next.js, FastAPI AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits Auth0 Stack: Token Vault, Async Authorization, Fine-Grained Authorization (FGA) Remote Below is the annual base salary range for candidates located in California. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $188,000 - $282,000 USD. What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at
Professional Engineering Consultant
Tulsa, Oklahoma
Position Summary: The Project Manager (PM) is responsible for the management and delivery of projects in accordance with each project's client contract and to the expectations of PEC. This position is expected to manage the project scope, schedule, and cost while also assessing and managing risks and for client satisfaction. The Project Manager will coordinate and communicate with all appropriate project stakeholders, ensuring deliverables and milestones are on time and within budget. Duties and Responsibilities: Competent to make all business decisions on projects from opportunity identification through project completion with minimal guidance or oversight. Anticipate and productively resolve discrepancies between client expectations and contracted scope Manage project scope, cost, and schedule for the planning, execution, and delivery of projects on-time and within budget Lead project teams throughout pre-contract phase. Collaborating with internal and external team members to develop fee proposals and when needed, establish project budgets. Thereafter preparing proposed contracts and sub-consultant contracts as appropriate Responsible for assembling the project team with the approval of each project team member's supervisor Manage the flow of project work for all disciplines Manage the application of resources to the project Provide direction to project team for all project activities to keep them on schedule Update project timeline and adjust scheduling and provide regular project updates to the project team and others as appropriate Ensure Quality Control processes are followed, performed, and documented Identify risk (client service risks, contract risks, technical risks, staffing risks, etc.), appropriately communicates risk and risk management strategies internally, and diplomatically and effectively navigate risk management with clients and project teams Lead project teams through forecasting estimates to complete and assessing work progress Communicate effectively with the project team, Market VP, and other internal stakeholders as necessary to accomplish the project goals and the expectations of PEC Effective and appropriate client communication and client management Adhere to all adopted business practices and quality procedures Represent themselves and PEC in a professional, strategic, and courteous manner Project assignments and responsibilities may be added at the company's discretion. Knowledge, skills and abilities: Considerable knowledge and understanding of consulting design and construction standards and practices Strong skills using project management tools and systems, including but not limited to scheduling software, including Microsoft Project Proficient Microsoft Office and Bluebeam skills Familiar with CADD and REVIT software applications and processes Proven experience working in collaborative environments using Microsoft Teams Ability to effectively communicate both verbally and in writing with internal and external project teams, the client and other stakeholders Ability to work independently and as part of a team Strong leadership and interpersonal skills, with the ability to motivate and guide others, build effective and cohesive relationships Proven experience in planning, organizing, prioritizing, coordinating, training, supporting, assigning and evaluating the work of a project team Education and Experience: Bachelor's degree in engineering or related field from ABET Accredited University required Minimum two (2) years' experience as a discipline/task lead required Minimum two (2) years' experience in Project Management or related experience/field preferred Minimum five (5) years' experience in Engineering Design preferred License and Certification: Licensure by the applicable State Board of Technical Professions preferred Work Environment: PEC values working efficiently and collaboratively for quality and productive work. The work environment is business casual, friendly, respectful, and team oriented with daily peer interactions regarding work progress, client needs and project-specific technical issues. We strive to create an enjoyable work environment with support and opportunities for positive career growth. Much of the work will be conducted within an office setting with frequent sitting, reaching and manipulation of objects, tools and/or controls. The position requires mobility. Duties involved require moving materials that weigh up to 10 pounds on a regular basis and up to 25 pounds on an occasional basis. Manual dexterity and coordination are required over 50% of the work period while operating equipment such as computer keyboard, mouse, calculator and similar machines. At times, bending, reaching, standing, and walking may be required. Supervisory Responsibilities (if there are no supervisor responsibilities, put N/A): N/A HP21 PEC is an AA/EEO/Veteran/Disabled employer. PI8691d0afb6-
04/04/2026
Full time
Position Summary: The Project Manager (PM) is responsible for the management and delivery of projects in accordance with each project's client contract and to the expectations of PEC. This position is expected to manage the project scope, schedule, and cost while also assessing and managing risks and for client satisfaction. The Project Manager will coordinate and communicate with all appropriate project stakeholders, ensuring deliverables and milestones are on time and within budget. Duties and Responsibilities: Competent to make all business decisions on projects from opportunity identification through project completion with minimal guidance or oversight. Anticipate and productively resolve discrepancies between client expectations and contracted scope Manage project scope, cost, and schedule for the planning, execution, and delivery of projects on-time and within budget Lead project teams throughout pre-contract phase. Collaborating with internal and external team members to develop fee proposals and when needed, establish project budgets. Thereafter preparing proposed contracts and sub-consultant contracts as appropriate Responsible for assembling the project team with the approval of each project team member's supervisor Manage the flow of project work for all disciplines Manage the application of resources to the project Provide direction to project team for all project activities to keep them on schedule Update project timeline and adjust scheduling and provide regular project updates to the project team and others as appropriate Ensure Quality Control processes are followed, performed, and documented Identify risk (client service risks, contract risks, technical risks, staffing risks, etc.), appropriately communicates risk and risk management strategies internally, and diplomatically and effectively navigate risk management with clients and project teams Lead project teams through forecasting estimates to complete and assessing work progress Communicate effectively with the project team, Market VP, and other internal stakeholders as necessary to accomplish the project goals and the expectations of PEC Effective and appropriate client communication and client management Adhere to all adopted business practices and quality procedures Represent themselves and PEC in a professional, strategic, and courteous manner Project assignments and responsibilities may be added at the company's discretion. Knowledge, skills and abilities: Considerable knowledge and understanding of consulting design and construction standards and practices Strong skills using project management tools and systems, including but not limited to scheduling software, including Microsoft Project Proficient Microsoft Office and Bluebeam skills Familiar with CADD and REVIT software applications and processes Proven experience working in collaborative environments using Microsoft Teams Ability to effectively communicate both verbally and in writing with internal and external project teams, the client and other stakeholders Ability to work independently and as part of a team Strong leadership and interpersonal skills, with the ability to motivate and guide others, build effective and cohesive relationships Proven experience in planning, organizing, prioritizing, coordinating, training, supporting, assigning and evaluating the work of a project team Education and Experience: Bachelor's degree in engineering or related field from ABET Accredited University required Minimum two (2) years' experience as a discipline/task lead required Minimum two (2) years' experience in Project Management or related experience/field preferred Minimum five (5) years' experience in Engineering Design preferred License and Certification: Licensure by the applicable State Board of Technical Professions preferred Work Environment: PEC values working efficiently and collaboratively for quality and productive work. The work environment is business casual, friendly, respectful, and team oriented with daily peer interactions regarding work progress, client needs and project-specific technical issues. We strive to create an enjoyable work environment with support and opportunities for positive career growth. Much of the work will be conducted within an office setting with frequent sitting, reaching and manipulation of objects, tools and/or controls. The position requires mobility. Duties involved require moving materials that weigh up to 10 pounds on a regular basis and up to 25 pounds on an occasional basis. Manual dexterity and coordination are required over 50% of the work period while operating equipment such as computer keyboard, mouse, calculator and similar machines. At times, bending, reaching, standing, and walking may be required. Supervisory Responsibilities (if there are no supervisor responsibilities, put N/A): N/A HP21 PEC is an AA/EEO/Veteran/Disabled employer. PI8691d0afb6-
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
04/04/2026
Full time
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool-it's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. Staff Software Development Engineer As a Staff Software Development Engineer at JazzX, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components. You'll be responsible for ensuring the platform's scalability, reliability, security and observability. What You Will Do Design and Architect Scalable Solutions Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability. Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture. Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability. Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. Foster a collaborative environment by working closely with cross-functional teams (AI/research engineers, software engineers, architects, product managers, and designers) to translate complex platform and product requirements into elegant, scalable, and modular AI, software and infrastructure components. Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences. Provide mentorship and guidance to junior engineers, fostering their growth and development. Driving Operational Excellence Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners. Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. Requirements Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus. Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex, AutoGen etc. is a strong plus. Why Join Us At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what's possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. As set forth in JazzX AI's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/04/2026
Full time
SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool-it's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. Staff Software Development Engineer As a Staff Software Development Engineer at JazzX, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components. You'll be responsible for ensuring the platform's scalability, reliability, security and observability. What You Will Do Design and Architect Scalable Solutions Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability. Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture. Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability. Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. Foster a collaborative environment by working closely with cross-functional teams (AI/research engineers, software engineers, architects, product managers, and designers) to translate complex platform and product requirements into elegant, scalable, and modular AI, software and infrastructure components. Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences. Provide mentorship and guidance to junior engineers, fostering their growth and development. Driving Operational Excellence Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners. Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. Requirements Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus. Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex, AutoGen etc. is a strong plus. Why Join Us At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what's possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. As set forth in JazzX AI's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities. On the Axon Records Discovery Squad, we're building a high performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job. Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips-empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life. As a Senior Engineer on the Discovery Squad, you'll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You'll work on major technical projects with large data volumes, lead the implementation of new features, and help shape our team culture and engineering processes. What You'll Do Location: This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in office culture is designed to foster meaningful teamwork, mentorship, and shared success. Lead engineering architecture design reviews Set a high technical bar for the team through code and architecture design reviews Enjoy mentoring and growing engineers Work across teams with Product, Design, and Engineering to create integrated solutions that delight our customers Improve our Engineering process, including long term thinking, sprint planning and stand ups Build services that adhere to our high bar on availability and latency in this mission critical space Work with the latest open source technologies What You Bring Bachelor's Degree in Computer Science, Engineering, or related field 10+ years of professional software development experience Experience designing and delivering highly available, scalable cloud based systems Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar Experience working with ElasticSearch or other search engine technologies Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ Experience working with SQL or NoSQL data stores Experience with Golang, GraphQL, and TypeScript programming is a plus Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work. The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent on many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion or exercise other CCPA rights at or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
04/04/2026
Full time
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities. On the Axon Records Discovery Squad, we're building a high performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job. Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips-empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life. As a Senior Engineer on the Discovery Squad, you'll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You'll work on major technical projects with large data volumes, lead the implementation of new features, and help shape our team culture and engineering processes. What You'll Do Location: This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in office culture is designed to foster meaningful teamwork, mentorship, and shared success. Lead engineering architecture design reviews Set a high technical bar for the team through code and architecture design reviews Enjoy mentoring and growing engineers Work across teams with Product, Design, and Engineering to create integrated solutions that delight our customers Improve our Engineering process, including long term thinking, sprint planning and stand ups Build services that adhere to our high bar on availability and latency in this mission critical space Work with the latest open source technologies What You Bring Bachelor's Degree in Computer Science, Engineering, or related field 10+ years of professional software development experience Experience designing and delivering highly available, scalable cloud based systems Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar Experience working with ElasticSearch or other search engine technologies Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ Experience working with SQL or NoSQL data stores Experience with Golang, GraphQL, and TypeScript programming is a plus Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work. The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent on many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion or exercise other CCPA rights at or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
What You'll Do Core Workday Reporting (Primary Focus) Build and maintain Advanced, Matrix, Composite, and RaaS reports . Write clear, efficient report logic using calculated fields, prompts, and conditions. Support recurring HR processes like performance reviews, planning cycles, and goal setting. Test and validate reports to ensure accuracy and performance. Document report purpose, logic, and expected use. Discovery Boards Build and maintain Workday Discovery Boards for HR teams and leaders. Use simple, consistent visuals and clean logic. Adjust detail and framing based on the audience. Prism Analytics (Advanced / Selective) Act as the primary Prism expert on the reporting team. Design and maintain Prism datasets, pipelines, and transformations when standard reporting isn't enough. Support multi source data and more complex reporting needs. Set practical standards for dataset structure, naming, and reuse. Guide peers on when and how to use Prism well. Partnership & Intake Translate business questions into clear reporting requirements. Work closely with HRBPs and enablement teams to clarify needs and limits. Explain trade offs and recommend realistic solutions. Manage requests with clear priorities and steady delivery. Quality & Standards Deliver error free outputs with clean, readable logic. Build reusable templates and shared reporting patterns. Follow enterprise data definitions and privacy expectations. Identify data issues and work with partners to resolve them. What We're Looking For Required 5-7+ years of Workday reporting experience . Strong hands on skill with Advanced, Matrix, Composite, and RaaS reports. Hands on experience with Workday Prism Analytics . Experience delivering operational, cycle based HR reporting . Ability to turn vague questions into clear, workable reports. Strong attention to detail and comfort validating data. Advanced Excel skills and experience working with multi source data. Experience working in a centralized or shared reporting team. Preferred Experience supporting both HR teams and senior leaders. Familiarity with tools like Power BI, Tableau, or SQL. Capabilities & Competencies Technical Depth: Strong command of Workday reporting, with advanced skill in Prism data modeling when needed. Analytical Precision: Produces accurate outputs with clean logic and disciplined validation. Systems Orientation: Understands how data flows through Workday, including upstream inputs and downstream impacts. Problem Structuring: Breaks unclear or open ended requests into clear, workable reporting components. Quality Rigor: Maintains consistency, documentation, and logic clarity across all deliverables. Stakeholder Fluency: Understands the needs and limits of HR teams and people leaders and designs reporting accordingly. Judgment: Makes practical choices about solution design, complexity, and long term maintainability. Knowledge Transfer: Raises team standards through shared patterns, examples, and technical guidance. Compensation Range: Pay Range - Start: $78,190.00 Pay Range - End: $145,210.00 Geographic Specific Pay Structure: Structure 110: $86,030.00 USD - $159,770.00 USD Structure 115: $89,950.00 USD - $167,050.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Job Posting End Date: 01/11/2027 The timeline for this job posting may be shortened or extended based on organizational needs. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Nor t hwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Analytical Thinking (NM) - Advanced, Data Interpretation (NM) - Intermediate, Business Acumen (NM) - Intermediate, Cross Functional Partnering & Planning (NM) - Intermediate, Storytelling through Data (NM) - Intermediate, SQL (NM) - Intermediate, Consulting (NM) - Beginner, Automation Mindset (NM) - Beginner, Strategic Thinking (NM) - Intermediate, Business Application (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Root Cause Analysis & Decision Quality (NM) - Intermediate, Python or R (NM) - Intermediate, Tableau or Power BI (NM) - Intermediate, Industry Knowledge (NM) - Beginner, Data ETL (NM) - Intermediate, Statistical Analysis (NM) - Intermediate, Data Literacy (NM) - Advanced, Data Analytics (NM) - Advanced, Data Solutions (NM) - Intermediate FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:General, Location:Milwaukee, WI-53205
04/04/2026
Full time
What You'll Do Core Workday Reporting (Primary Focus) Build and maintain Advanced, Matrix, Composite, and RaaS reports . Write clear, efficient report logic using calculated fields, prompts, and conditions. Support recurring HR processes like performance reviews, planning cycles, and goal setting. Test and validate reports to ensure accuracy and performance. Document report purpose, logic, and expected use. Discovery Boards Build and maintain Workday Discovery Boards for HR teams and leaders. Use simple, consistent visuals and clean logic. Adjust detail and framing based on the audience. Prism Analytics (Advanced / Selective) Act as the primary Prism expert on the reporting team. Design and maintain Prism datasets, pipelines, and transformations when standard reporting isn't enough. Support multi source data and more complex reporting needs. Set practical standards for dataset structure, naming, and reuse. Guide peers on when and how to use Prism well. Partnership & Intake Translate business questions into clear reporting requirements. Work closely with HRBPs and enablement teams to clarify needs and limits. Explain trade offs and recommend realistic solutions. Manage requests with clear priorities and steady delivery. Quality & Standards Deliver error free outputs with clean, readable logic. Build reusable templates and shared reporting patterns. Follow enterprise data definitions and privacy expectations. Identify data issues and work with partners to resolve them. What We're Looking For Required 5-7+ years of Workday reporting experience . Strong hands on skill with Advanced, Matrix, Composite, and RaaS reports. Hands on experience with Workday Prism Analytics . Experience delivering operational, cycle based HR reporting . Ability to turn vague questions into clear, workable reports. Strong attention to detail and comfort validating data. Advanced Excel skills and experience working with multi source data. Experience working in a centralized or shared reporting team. Preferred Experience supporting both HR teams and senior leaders. Familiarity with tools like Power BI, Tableau, or SQL. Capabilities & Competencies Technical Depth: Strong command of Workday reporting, with advanced skill in Prism data modeling when needed. Analytical Precision: Produces accurate outputs with clean logic and disciplined validation. Systems Orientation: Understands how data flows through Workday, including upstream inputs and downstream impacts. Problem Structuring: Breaks unclear or open ended requests into clear, workable reporting components. Quality Rigor: Maintains consistency, documentation, and logic clarity across all deliverables. Stakeholder Fluency: Understands the needs and limits of HR teams and people leaders and designs reporting accordingly. Judgment: Makes practical choices about solution design, complexity, and long term maintainability. Knowledge Transfer: Raises team standards through shared patterns, examples, and technical guidance. Compensation Range: Pay Range - Start: $78,190.00 Pay Range - End: $145,210.00 Geographic Specific Pay Structure: Structure 110: $86,030.00 USD - $159,770.00 USD Structure 115: $89,950.00 USD - $167,050.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Job Posting End Date: 01/11/2027 The timeline for this job posting may be shortened or extended based on organizational needs. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Nor t hwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Analytical Thinking (NM) - Advanced, Data Interpretation (NM) - Intermediate, Business Acumen (NM) - Intermediate, Cross Functional Partnering & Planning (NM) - Intermediate, Storytelling through Data (NM) - Intermediate, SQL (NM) - Intermediate, Consulting (NM) - Beginner, Automation Mindset (NM) - Beginner, Strategic Thinking (NM) - Intermediate, Business Application (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Root Cause Analysis & Decision Quality (NM) - Intermediate, Python or R (NM) - Intermediate, Tableau or Power BI (NM) - Intermediate, Industry Knowledge (NM) - Beginner, Data ETL (NM) - Intermediate, Statistical Analysis (NM) - Intermediate, Data Literacy (NM) - Advanced, Data Analytics (NM) - Advanced, Data Solutions (NM) - Intermediate FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:General, Location:Milwaukee, WI-53205
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front end interfaces and back end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full stack development experience, proficient in both front end and back end technologies. Expertise in front end and back end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agents. Experience contributing to open source projects. Build high performance APIs and microservices to support large scale Web3 application. Familiarity with large scale data processing technologies such as Hadoop or Spark.
04/04/2026
Full time
We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front end interfaces and back end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full stack development experience, proficient in both front end and back end technologies. Expertise in front end and back end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agents. Experience contributing to open source projects. Build high performance APIs and microservices to support large scale Web3 application. Familiarity with large scale data processing technologies such as Hadoop or Spark.
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
04/04/2026
Full time
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
Wanna join the adventure? Loft Orbital's mission is to simplify access to space, streamlining the process to develop and deploy mission tasking to our space infrastructure. Join our team as a Technical Program Manager in our hardware org, working across our product engineering org here at Loft. In this role, you'll contribute directly by supporting our team in their planning and execution, focusing on delivering high-quality solutions on time. Help "pave the road" by developing lightweight and intuitive processes that can further drive team efficiencies. You will work closely with our TPM group across Loft to help guide how teams work effectively and efficiently together. Your ideas will help shape how we grow and operate, and this is your chance to make a real impact with a team that's redefining space operations. If you're excited about driving change and contributing to groundbreaking projects, we want you on our team! About this Role: Lead cross-functional hardware teams across program and mission development, attending key meetings and activities. Monitor progress and communicate changes in priorities, schedules, risks, and dependencies. Project Planning and Scheduling Develop and manage project timelines, including milestones and deliverables, for hardware development projects. Coordinate technical requirements, resources, and scheduling across engineering, testing, and production teams to ensure smooth project flow. Cross-Functional Collaboration Facilitate communication and collaboration across engineering disciplines, including Ground systems, software teams, systems engineering, and suppliers. Act as the point of contact between engineering teams and other departments, such as product management, operations, and business development. Risk Management and Mitigation Identify technical and project risks, including those (related to signal integrity, RF interference, and space environment constraints). Develop mitigation strategies and communicate potential risks to stakeholders. Budget and Resource Management Work with finance and engineering leads to develop budgets that align with project scope and requirements. Ensure the availability of technical resources, including specialized equipment, testing tools, and team support, while staying within budget constraints. Support team leads in creating standards, best practices, and streamlined processes for feature development and delivery. Contribute to product roadmaps and engage in long-term planning. Must Haves: Proven ability to manage multiple projects, prioritize tasks, and meet deadlines. 5+ years end-to-end, product development-focused engineering experience on space applications Proficient in Agile methodologies (Scrum, Kanban, Lean) and SDLC standards. Excellent written and verbal communication skills, with proficiency in data visualization. Strong interpersonal skills; capable of influencing others without formal authority. Nice to Haves: Proficient with Jira Global Configuration or familiar with the Atlassian product suite (Jira, Confluence, Jira Service Management). Experience in Product Management. Previous experience working with an international team across time zones. Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable $130,000 - $170,000 a year State law requires us to tell you the base compensation range for this role, which is $130,000- $17-,000 per year in Colorado. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, in-orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.
04/04/2026
Full time
Wanna join the adventure? Loft Orbital's mission is to simplify access to space, streamlining the process to develop and deploy mission tasking to our space infrastructure. Join our team as a Technical Program Manager in our hardware org, working across our product engineering org here at Loft. In this role, you'll contribute directly by supporting our team in their planning and execution, focusing on delivering high-quality solutions on time. Help "pave the road" by developing lightweight and intuitive processes that can further drive team efficiencies. You will work closely with our TPM group across Loft to help guide how teams work effectively and efficiently together. Your ideas will help shape how we grow and operate, and this is your chance to make a real impact with a team that's redefining space operations. If you're excited about driving change and contributing to groundbreaking projects, we want you on our team! About this Role: Lead cross-functional hardware teams across program and mission development, attending key meetings and activities. Monitor progress and communicate changes in priorities, schedules, risks, and dependencies. Project Planning and Scheduling Develop and manage project timelines, including milestones and deliverables, for hardware development projects. Coordinate technical requirements, resources, and scheduling across engineering, testing, and production teams to ensure smooth project flow. Cross-Functional Collaboration Facilitate communication and collaboration across engineering disciplines, including Ground systems, software teams, systems engineering, and suppliers. Act as the point of contact between engineering teams and other departments, such as product management, operations, and business development. Risk Management and Mitigation Identify technical and project risks, including those (related to signal integrity, RF interference, and space environment constraints). Develop mitigation strategies and communicate potential risks to stakeholders. Budget and Resource Management Work with finance and engineering leads to develop budgets that align with project scope and requirements. Ensure the availability of technical resources, including specialized equipment, testing tools, and team support, while staying within budget constraints. Support team leads in creating standards, best practices, and streamlined processes for feature development and delivery. Contribute to product roadmaps and engage in long-term planning. Must Haves: Proven ability to manage multiple projects, prioritize tasks, and meet deadlines. 5+ years end-to-end, product development-focused engineering experience on space applications Proficient in Agile methodologies (Scrum, Kanban, Lean) and SDLC standards. Excellent written and verbal communication skills, with proficiency in data visualization. Strong interpersonal skills; capable of influencing others without formal authority. Nice to Haves: Proficient with Jira Global Configuration or familiar with the Atlassian product suite (Jira, Confluence, Jira Service Management). Experience in Product Management. Previous experience working with an international team across time zones. Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable $130,000 - $170,000 a year State law requires us to tell you the base compensation range for this role, which is $130,000- $17-,000 per year in Colorado. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, in-orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Senior Product Manager, New Bets Base pay: $170,000.00/yr - $180,000.00/yr About Us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. We build software and AI Agents for the people who enable trust between businesses. We're based in San Francisco, CA and are backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity in backgrounds and experiences and seek teammates who are strong in their own aptitudes and care deeply about supporting each other's growth. As an early stage startup, you'll build the future of business trust by eliminating up to 50% of audit practitioners' work and giving them better work life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide. About The Role As a key member of our New Bets pillar, you will be instrumental in exploring new product opportunities. You will lead the process from ideation and concept stages to validating and testing key assumptions, and ultimately designing, testing, and building an MVP that can scale if successful. Outcome 1: Test, validate and build product MVPs Partner closely with cross functional teams and prospects/customers to generate product concepts that resonate with the intended audience Identify and validate the key assumptions required to ensure the product has the potential to become materially revenue generating at scale Define scope and make strategic trade offs to bring the strongest concepts to market quickly, ensuring clear success criteria are established, measured, and acted upon Outcome 2: Scale up a successful MVP Build and execute a product roadmap that evolves the MVP into a scalable, durable product Work with our GTM teams to align on value propositions and drive sales Continuously validate assumptions as the product grows, applying learnings to iterate and improve the experience What You'll Do Lead end to end discovery, ideation, and validation of new product opportunities Define and launch MVPs with clear scope, success criteria, and informed trade offs Collaborate with cross functional teams to rapidly test, iterate, and deliver product concepts Validate financial, technical, and operational assumptions to ensure long term scalability Analyze user feedback and product data to drive continuous improvement post launch Align product direction with strategic objectives and measurable business outcomes Engage designers, engineers, and analysts in shaping product strategy and key decisions This is primarily an in person role with at least 3 days a week in our San Francisco office. It'll require occasional travel (once a month) to be onsite with our clients Who You Are 2 4+ years experience in product management building 0 1 products Comfortable with ambiguity that comes with launching new products Strong cross functional collaboration skills with internal and external stakeholders Degree in a technical or related field, or equivalent professional experience Bonus Points Domain expertise in Audit, Assurance or Accounting AI related experience (experience developing AI agents a plus) Some coding experience with React, Typescript, and Go MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles) Past roles that interface with end customers to influence software development More About Fieldguide Fearless - Inspire & break down seemingly impossible walls Fast - Launch fast with excellence, iterate to perfection Lovable - Deliver happiness & 11 star experiences Owners - Execute & run the business with ownership Win win - Create mutual value & earn trust for life Inclusive - Scale the best ideas with inclusive teams Benefits Competitive compensation packages with meaningful ownership Flexible PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement Flexible work schedules Seniority level Mid Senior level Employment type Full time Job function Product Management and Marketing Industries Software Development
04/04/2026
Full time
Senior Product Manager, New Bets Base pay: $170,000.00/yr - $180,000.00/yr About Us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. We build software and AI Agents for the people who enable trust between businesses. We're based in San Francisco, CA and are backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity in backgrounds and experiences and seek teammates who are strong in their own aptitudes and care deeply about supporting each other's growth. As an early stage startup, you'll build the future of business trust by eliminating up to 50% of audit practitioners' work and giving them better work life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide. About The Role As a key member of our New Bets pillar, you will be instrumental in exploring new product opportunities. You will lead the process from ideation and concept stages to validating and testing key assumptions, and ultimately designing, testing, and building an MVP that can scale if successful. Outcome 1: Test, validate and build product MVPs Partner closely with cross functional teams and prospects/customers to generate product concepts that resonate with the intended audience Identify and validate the key assumptions required to ensure the product has the potential to become materially revenue generating at scale Define scope and make strategic trade offs to bring the strongest concepts to market quickly, ensuring clear success criteria are established, measured, and acted upon Outcome 2: Scale up a successful MVP Build and execute a product roadmap that evolves the MVP into a scalable, durable product Work with our GTM teams to align on value propositions and drive sales Continuously validate assumptions as the product grows, applying learnings to iterate and improve the experience What You'll Do Lead end to end discovery, ideation, and validation of new product opportunities Define and launch MVPs with clear scope, success criteria, and informed trade offs Collaborate with cross functional teams to rapidly test, iterate, and deliver product concepts Validate financial, technical, and operational assumptions to ensure long term scalability Analyze user feedback and product data to drive continuous improvement post launch Align product direction with strategic objectives and measurable business outcomes Engage designers, engineers, and analysts in shaping product strategy and key decisions This is primarily an in person role with at least 3 days a week in our San Francisco office. It'll require occasional travel (once a month) to be onsite with our clients Who You Are 2 4+ years experience in product management building 0 1 products Comfortable with ambiguity that comes with launching new products Strong cross functional collaboration skills with internal and external stakeholders Degree in a technical or related field, or equivalent professional experience Bonus Points Domain expertise in Audit, Assurance or Accounting AI related experience (experience developing AI agents a plus) Some coding experience with React, Typescript, and Go MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles) Past roles that interface with end customers to influence software development More About Fieldguide Fearless - Inspire & break down seemingly impossible walls Fast - Launch fast with excellence, iterate to perfection Lovable - Deliver happiness & 11 star experiences Owners - Execute & run the business with ownership Win win - Create mutual value & earn trust for life Inclusive - Scale the best ideas with inclusive teams Benefits Competitive compensation packages with meaningful ownership Flexible PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement Flexible work schedules Seniority level Mid Senior level Employment type Full time Job function Product Management and Marketing Industries Software Development
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
04/04/2026
Full time
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/04/2026
Full time
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Build the Bid. Shape the Solution. Drive the Win. Are you an engineering-minded problem solver who thrives on designing precise, high-performance solutions for complex projects? Do you enjoy collaborating across departments, solving technical challenges, and supporting a sales organization with accurate, competitive proposals? At Global Finishing Solutions (GFS ) , our Senior Applications Engineers don't just create estimates; they design solutions that set our aerospace and industrial customers (and GFS) up for success. You'll be a critical part of our team, influencing project profitability, execution, and customer satisfaction through your technical expertise and problem-solving skills. Every project is different. Every customer has unique needs. And your engineering mindset will be key to making each solution work. What Success Looks Like Lead and prioritize the preparation of project estimates and written quotations, ensuring bid schedules and sales expectations are consistently met. Coordinate technical and administrative support within the Applications Engineering team while aligning cross-functionally with Sales, Engineering, Project Management, and other departments. Develop, implement, and maintain documented design standards and estimating procedures, including labor and material guidelines. Ensure conceptual designs meet customer specifications, aerospace standards, and profitability expectations. Manage Aerospace and Government projects through the pre-sale process, strictly adhering to contractual requirements and specifications. Drive profitability through strategic vendor sourcing, evaluating subcontractor options, and making build vs. buy recommendations. Identify alternative solutions that create cost savings while maintaining customer satisfaction and scope integrity. Provide training and coaching to team members to strengthen efficiency, consistency, and technical performance. Demonstrate strong technical proficiency in HVAC fundamentals, including boilers and chillers. Support scope definition and technical alignment across mechanical engineering, structural, electrical, controls/programming, and mechanical design functions. Champion continuous improvement across the department and cross-functionally to enhance customer service and operational performance. Support custom product estimating and quoting initiatives within the Industrial Business Unit. Qualifications That Shine Bachelor's degree in Engineering or a related technical discipline. 3-5 years of experience in a construction, manufacturing, or engineered equipment environment, preferably supporting aerospace or government projects. Strong understanding of construction documents, engineering drawings, and project bid requirements. Proven ability to execute complex projects with speed, accuracy, and high attention to detail. Strong technical communication skills and ability to collaborate effectively across all levels of the organization. Proficiency in Microsoft Office products and AutoCAD. Strong organizational skills with the ability to manage multiple priorities while maintaining quality and urgency. Why You'll Love Working Here You'll Be Empowered - You'll have autonomy in your role, supported by a team that trusts your judgment You'll Grow With Us - We invest in your training, development, and long-term career path You'll Be Rewarded - Competitive pay, performance incentives, 401(k) with profit sharing, and great benefits You'll Make a Real Impact - Your work supports businesses across North America and shapes the future of finishing technology You'll Join a Great Team - We're growing fast, we value collaboration, and are committed to your success Transparent Rewards At GFS, we recognize the dedication behind every role and ensure that our compensation reflects both your impact and our shared success. Pay Range: $90,116.14 - $113,440.31 per year, based on your experience, skills, and qualifications. Bonus Eligibility: This position is eligible for an annual individual incentive based on company performance. Maximum bonus amounts may vary depending on role. Benefits: Eligible for standard company benefits, including health, dental, and vision insurance, 401(k) retirement plan with company match, paid time off, and other employee programs. More detailed information is available at 2026 GFS Benefits . Actual compensation will be determined by factors including experience, education, certifications, skill level, and market conditions. For remote or hybrid positions, the listed pay range applies to applicants in the specified location. About GFS Global Finishing Solutions is the leading manufacturer of paint booths and finishing systems serving automotive, aerospace, industrial manufacturing, marine, military, rail, trucking, and wood finishing markets. We specialize in building custom solutions that meet each customer's unique needs and we do it with a team that thrives on collaboration and innovation because we're different. What makes us different is our unwavering commitment to our core values of family, respect, partnership, improvement, and integrity. We are a family-oriented organization that still values the little things, creating a workplace where you can thrive, fairness guides every decision, and collaboration drives shared success. Small town in spirit but big-hearted in impact, here you're not just joining a company, you're joining a team that grows together, celebrates together, and builds lasting value together. That's the difference. Join us. Apply now at About GFS Watch Us in Action Connect on LinkedIn Equal Opportunity Employer GFS is proud to provide equal employment opportunities to all applicants . We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, sex, age, national origin, disability, sexual orientation, gender identity, veteran status, or any other status protected by law. Employment offers are subject to successful completion of pre-employment drug screening and physicals, consistent with applicable laws. Note to recruiters: GFS only works with agencies that have signed a contract with our HR team. Resumes sent directly to hiring managers without a prior agreement are considered unsolicited and the property of GFS. Placement fees will not be paid without a formal contract. PIeaadcd403e60-2031
04/04/2026
Full time
Build the Bid. Shape the Solution. Drive the Win. Are you an engineering-minded problem solver who thrives on designing precise, high-performance solutions for complex projects? Do you enjoy collaborating across departments, solving technical challenges, and supporting a sales organization with accurate, competitive proposals? At Global Finishing Solutions (GFS ) , our Senior Applications Engineers don't just create estimates; they design solutions that set our aerospace and industrial customers (and GFS) up for success. You'll be a critical part of our team, influencing project profitability, execution, and customer satisfaction through your technical expertise and problem-solving skills. Every project is different. Every customer has unique needs. And your engineering mindset will be key to making each solution work. What Success Looks Like Lead and prioritize the preparation of project estimates and written quotations, ensuring bid schedules and sales expectations are consistently met. Coordinate technical and administrative support within the Applications Engineering team while aligning cross-functionally with Sales, Engineering, Project Management, and other departments. Develop, implement, and maintain documented design standards and estimating procedures, including labor and material guidelines. Ensure conceptual designs meet customer specifications, aerospace standards, and profitability expectations. Manage Aerospace and Government projects through the pre-sale process, strictly adhering to contractual requirements and specifications. Drive profitability through strategic vendor sourcing, evaluating subcontractor options, and making build vs. buy recommendations. Identify alternative solutions that create cost savings while maintaining customer satisfaction and scope integrity. Provide training and coaching to team members to strengthen efficiency, consistency, and technical performance. Demonstrate strong technical proficiency in HVAC fundamentals, including boilers and chillers. Support scope definition and technical alignment across mechanical engineering, structural, electrical, controls/programming, and mechanical design functions. Champion continuous improvement across the department and cross-functionally to enhance customer service and operational performance. Support custom product estimating and quoting initiatives within the Industrial Business Unit. Qualifications That Shine Bachelor's degree in Engineering or a related technical discipline. 3-5 years of experience in a construction, manufacturing, or engineered equipment environment, preferably supporting aerospace or government projects. Strong understanding of construction documents, engineering drawings, and project bid requirements. Proven ability to execute complex projects with speed, accuracy, and high attention to detail. Strong technical communication skills and ability to collaborate effectively across all levels of the organization. Proficiency in Microsoft Office products and AutoCAD. Strong organizational skills with the ability to manage multiple priorities while maintaining quality and urgency. Why You'll Love Working Here You'll Be Empowered - You'll have autonomy in your role, supported by a team that trusts your judgment You'll Grow With Us - We invest in your training, development, and long-term career path You'll Be Rewarded - Competitive pay, performance incentives, 401(k) with profit sharing, and great benefits You'll Make a Real Impact - Your work supports businesses across North America and shapes the future of finishing technology You'll Join a Great Team - We're growing fast, we value collaboration, and are committed to your success Transparent Rewards At GFS, we recognize the dedication behind every role and ensure that our compensation reflects both your impact and our shared success. Pay Range: $90,116.14 - $113,440.31 per year, based on your experience, skills, and qualifications. Bonus Eligibility: This position is eligible for an annual individual incentive based on company performance. Maximum bonus amounts may vary depending on role. Benefits: Eligible for standard company benefits, including health, dental, and vision insurance, 401(k) retirement plan with company match, paid time off, and other employee programs. More detailed information is available at 2026 GFS Benefits . Actual compensation will be determined by factors including experience, education, certifications, skill level, and market conditions. For remote or hybrid positions, the listed pay range applies to applicants in the specified location. About GFS Global Finishing Solutions is the leading manufacturer of paint booths and finishing systems serving automotive, aerospace, industrial manufacturing, marine, military, rail, trucking, and wood finishing markets. We specialize in building custom solutions that meet each customer's unique needs and we do it with a team that thrives on collaboration and innovation because we're different. What makes us different is our unwavering commitment to our core values of family, respect, partnership, improvement, and integrity. We are a family-oriented organization that still values the little things, creating a workplace where you can thrive, fairness guides every decision, and collaboration drives shared success. Small town in spirit but big-hearted in impact, here you're not just joining a company, you're joining a team that grows together, celebrates together, and builds lasting value together. That's the difference. Join us. Apply now at About GFS Watch Us in Action Connect on LinkedIn Equal Opportunity Employer GFS is proud to provide equal employment opportunities to all applicants . We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, sex, age, national origin, disability, sexual orientation, gender identity, veteran status, or any other status protected by law. Employment offers are subject to successful completion of pre-employment drug screening and physicals, consistent with applicable laws. Note to recruiters: GFS only works with agencies that have signed a contract with our HR team. Resumes sent directly to hiring managers without a prior agreement are considered unsolicited and the property of GFS. Placement fees will not be paid without a formal contract. PIeaadcd403e60-2031
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
04/04/2026
Full time
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
What You Will Do Clarios is seeking a Decision Intelligence Product Manager responsible for overseeing the development and delivery of products that enable business users to make smarter decisions using data, automation, and AI. This position connects business strategy, data, and technology to ensure decision intelligence solutions can support, augment, and automate decision-making across operational, tactical, and strategic levels. This role requires a team member who leads by example, is confident, perseverant, inspirational, disciplined and dependable. In addition, this individual needs to be highly collaborative, a strong communicator and always on the lookout for continuous improvement opportunities. This will be onsite in Milwaukee, WI 3 days a week. How You Will Do It Product Strategy & Vision - Establish and communicate the vision, strategy, and roadmap for decision intelligence products. Align product objectives with business goals and stakeholder requirements across departments. Incorporate 'human in the loop', 'human on the loop', and 'human out of the loop' functionalities based on business and technology maturity. Evangelize Decision Intelligence - Serve as a thought leader and advocate for decision intelligence across the organization. Promote awareness, understanding, and enthusiasm for decision intelligence products through demos, workshops, and storytelling. Partner with change management and communications teams to drive cultural adoption of data-driven decision-making. Digitize Decision Frameworks - Lead efforts to digitize core business decision frameworks, enabling consistent, scalable, and transparent decision-making processes. Stakeholder Engagement - Collaborate with business leaders and regional IT peers to identify challenges and opportunities in decision-making. Convert business needs into product features and technical specifications. Product Management - Represent customer perspectives and lead the decision intelligence product team through the product lifecycle, including ideation, launch, and iteration. Rank features and improvements according to impact, feasibility, and user feedback. Ensure timely delivery of solutions that achieve targeted business results. User Experience & Adoption - Design user interfaces that facilitate complex decision processes and provide necessary explainability for users. Encourage adoption through training, documentation, and ongoing enhancements. Data & AI Integration - Coordinate with data engineering teams to maintain a unified data infrastructure connecting sources, business logic, and analytical models. Collaborate with data science teams to incorporate predictive models, optimization algorithms, and other AI capabilities into decision workflows. Promote data visualization, scenario modeling, and simulation tools for informed decision-making. Performance & Impact Measurement - Set KPIs and success metrics for decision intelligence products. Record decisions and outcomes to support continuous learning and development. Track usage, performance, and business impact and adjust as needed In order to succeed in this role, the individual must have a sound knowledge of creating business values, in addition to internal business acumen that complement the work. Strategic Thinking: Demonstrates the capability to connect product vision with overarching business strategy and long-term organizational objectives. Business Acumen: Possesses comprehensive expertise in operational, financial, and strategic decision-making processes. Decision Modeling: Proficient in applying frameworks for evaluating business decisions and forecasting outcomes. Communication & Influence: Excels in storytelling, stakeholder engagement, and change management. Product Management: Experienced in agile methodologies, backlog prioritization, and effective cross-functional collaboration. User-Centric Design: Dedicated to delivering intuitive and impactful user experiences. Innovation & Evangelism: Committed to promoting adoption and fostering a culture of data-driven decision-making. Data Literacy: Advanced knowledge of data, analytics, and AI/ML technologies. Stakeholder Management: Skilled at aligning diverse stakeholder groups around a unified vision. Results Orientation: Results-driven and pragmatic, demonstrating a proactive approach to achieving measurable outcomes and overcoming obstacles. Collaboration: Strong ability to build partnerships and collaborate effectively with colleagues to achieve shared goals. What We Look For 8+ years of experience in an agile environment, operating as a product manager 8+ years of data/analytics/AI-related work experience in a corporate/ manufacturing environment preferred. Experience with agile tools (e.g., JIRA, Azure DevOps, ). Knowledge of decision intelligence product or platform is a strong plus. Ability to lead initiatives, manage projects, and work in a matrix environment with multiple IT, Analytics and business user groups Sound analytical abilities and business sense, with experience building out business cases for capital funding. Demonstrated high energy level and the drive required to proactively lead activities within a dynamic business environment. Hands-on style and willingness to perform a range of detailed work. The motivation, adaptability, and professional qualities to work well with individuals in multiple disciplines and across global organizations. Microsoft Office proficient, familiarity with Teams using video and audio technology Ability to understand business goals and recommend new approaches and procedures Ability to travel up to 10% What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
04/04/2026
Full time
What You Will Do Clarios is seeking a Decision Intelligence Product Manager responsible for overseeing the development and delivery of products that enable business users to make smarter decisions using data, automation, and AI. This position connects business strategy, data, and technology to ensure decision intelligence solutions can support, augment, and automate decision-making across operational, tactical, and strategic levels. This role requires a team member who leads by example, is confident, perseverant, inspirational, disciplined and dependable. In addition, this individual needs to be highly collaborative, a strong communicator and always on the lookout for continuous improvement opportunities. This will be onsite in Milwaukee, WI 3 days a week. How You Will Do It Product Strategy & Vision - Establish and communicate the vision, strategy, and roadmap for decision intelligence products. Align product objectives with business goals and stakeholder requirements across departments. Incorporate 'human in the loop', 'human on the loop', and 'human out of the loop' functionalities based on business and technology maturity. Evangelize Decision Intelligence - Serve as a thought leader and advocate for decision intelligence across the organization. Promote awareness, understanding, and enthusiasm for decision intelligence products through demos, workshops, and storytelling. Partner with change management and communications teams to drive cultural adoption of data-driven decision-making. Digitize Decision Frameworks - Lead efforts to digitize core business decision frameworks, enabling consistent, scalable, and transparent decision-making processes. Stakeholder Engagement - Collaborate with business leaders and regional IT peers to identify challenges and opportunities in decision-making. Convert business needs into product features and technical specifications. Product Management - Represent customer perspectives and lead the decision intelligence product team through the product lifecycle, including ideation, launch, and iteration. Rank features and improvements according to impact, feasibility, and user feedback. Ensure timely delivery of solutions that achieve targeted business results. User Experience & Adoption - Design user interfaces that facilitate complex decision processes and provide necessary explainability for users. Encourage adoption through training, documentation, and ongoing enhancements. Data & AI Integration - Coordinate with data engineering teams to maintain a unified data infrastructure connecting sources, business logic, and analytical models. Collaborate with data science teams to incorporate predictive models, optimization algorithms, and other AI capabilities into decision workflows. Promote data visualization, scenario modeling, and simulation tools for informed decision-making. Performance & Impact Measurement - Set KPIs and success metrics for decision intelligence products. Record decisions and outcomes to support continuous learning and development. Track usage, performance, and business impact and adjust as needed In order to succeed in this role, the individual must have a sound knowledge of creating business values, in addition to internal business acumen that complement the work. Strategic Thinking: Demonstrates the capability to connect product vision with overarching business strategy and long-term organizational objectives. Business Acumen: Possesses comprehensive expertise in operational, financial, and strategic decision-making processes. Decision Modeling: Proficient in applying frameworks for evaluating business decisions and forecasting outcomes. Communication & Influence: Excels in storytelling, stakeholder engagement, and change management. Product Management: Experienced in agile methodologies, backlog prioritization, and effective cross-functional collaboration. User-Centric Design: Dedicated to delivering intuitive and impactful user experiences. Innovation & Evangelism: Committed to promoting adoption and fostering a culture of data-driven decision-making. Data Literacy: Advanced knowledge of data, analytics, and AI/ML technologies. Stakeholder Management: Skilled at aligning diverse stakeholder groups around a unified vision. Results Orientation: Results-driven and pragmatic, demonstrating a proactive approach to achieving measurable outcomes and overcoming obstacles. Collaboration: Strong ability to build partnerships and collaborate effectively with colleagues to achieve shared goals. What We Look For 8+ years of experience in an agile environment, operating as a product manager 8+ years of data/analytics/AI-related work experience in a corporate/ manufacturing environment preferred. Experience with agile tools (e.g., JIRA, Azure DevOps, ). Knowledge of decision intelligence product or platform is a strong plus. Ability to lead initiatives, manage projects, and work in a matrix environment with multiple IT, Analytics and business user groups Sound analytical abilities and business sense, with experience building out business cases for capital funding. Demonstrated high energy level and the drive required to proactively lead activities within a dynamic business environment. Hands-on style and willingness to perform a range of detailed work. The motivation, adaptability, and professional qualities to work well with individuals in multiple disciplines and across global organizations. Microsoft Office proficient, familiarity with Teams using video and audio technology Ability to understand business goals and recommend new approaches and procedures Ability to travel up to 10% What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.