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Date Posted: 2026-09-22 Country: United States of America Location: US-CA-EL SEGUNDO-E E El Segundo Blvd BLDG E01 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We are looking for a skilled Software Engineer II with embedded development experience to join our Space and RF Sensors team in El Segundo, CA. Raytheon El Segundo, CA Location What You Will Do: As a member of the team, you will work with cutting-edge technology and contribute to programs that safeguard lives and uphold the freedoms we cherish. At Raytheon, our exceptional engineers are empowered to achieve excellence and inspired to innovate, all within an inclusive environment that values work-life balance as a core principle, not just a catchphrase. Design, develop, test, and maintain software for aerospace and defense applications, ensuring robust functionality and reliability. Analyze and translate system requirements into detailed software specifications and designs. Implement, test, and debug software solutions to meet project requirements and quality standards. Collaborate with systems engineering, hardware engineering, and cross-functional teams to ensure seamless integration and optimal system performance. Participate in code reviews, testing procedures, and continuous improvement efforts to enhance software quality and development practices. Document software designs, test results, and troubleshooting processes for future reference. Work onsite in El Segundo, CA. Qualifications You Must Have: Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years of relevant software experience. Experience in programming languages such as C++, Java, Python or similar. Experience with software testing and debugging tools. Experience using version control tools like Git. Able to obtain and maintain a U.S. government issued security clearance as and when required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Understanding of Object-Oriented Design (OOD) principles and practices. Ability to work collaboratively in a team environment. Strong analytical and problem-solving skills. Familiarity with software development life cycles, including Agile methodologies. Experience with Linux and/or real-time embedded systems such vxWorks or Integrity. Knowledge of DevSecOps practices, including CI/CD pipelines such as GitLab and secure software development methodologies. Experience with unit test frameworks such as gTest/gMock. Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance Familiarity with gRPC and Protobufs Familiarity with Open Systems Architectures and modular design principles. Understanding of cybersecurity principles and secure coding practices. Active U.S. government security clearance (if required for the role). What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Some of our employee benefits include: The RTX Employee Scholar Program pays for tuition, academic fees and books for undergraduate and graduate study at approved educational institutions 401(k) plan that offers a broad range of investment options. For eligible employees, we will match up to 4% of your savings to help you build financial security Flexible work schedules and paid time off to accommodate work/life balance including many with every other Friday off Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA , an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 75,800 USD - 144,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and focus. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We are hiring an Infrastructure Functional Lead to take end-to-end ownership of Attune (Hexagon) and NetBox as Nscale's authoritative inventory of physical and logical infrastructure assets. You will assume ownership from external partners and become the internal authority on how these systems should work today and as we scale. Your mandate is simple: make Attune and NetBox a clean, reliable system of record for our data centre hardware, network topology, and IP space, integrated with procurement, finance, and our broader data ecosystem. This is a senior, high-impact role for someone who simplifies complexity, makes clear decisions, and can navigate stakeholder disagreements when necessary. What You'll Be Doing Lead end-to-end project delivery from business requirements gathering through user testing and implementation. Configure Attune for asset lifecycle and NetBox for DCIM and IPAM. Model racks, devices, cabling, circuits, prefixes, VLANs, VRFs, tenancy, GPU and server inventory, and network topology. Manage integrations with NetSuite for fixed assets and capitalisation, as well as procurement systems, monitoring, automation tooling, and Foundry. Own user management, validation rules, data governance, and data quality after go-live to prevent drift between physical reality and the system of record. Deliver custom reports, dashboards, and API exposure that support capacity, utilisation, lifecycle, and portfolio analytics. Optimise processes for asset intake, deployment, move-add-change, RMA, and decommissioning. Lead functional support for UAT, cutover, and post go-live stabilisation across sites. Resolve functional issues decisively and help DC Ops, Network Engineering, and Finance users gain confidence in the systems. Key Responsibilities Asset management ownership Take end-to-end functional ownership of Attune and NetBox across asset lifecycle, DCIM (sites, racks, devices, cabling, power), and IPAM (prefixes, IPs, VLANs, VRFs). Be accountable for the clarity, reliability, and scalability of Attune and NetBox as Nscale's authoritative infrastructure inventory. Ensure these systems remain clean, trusted, and maintainable as Nscale's footprint grows. Functional design and simplification Translate Nscale's data centre, network, and asset operating model into simple, scalable Attune and NetBox configurations that avoid unnecessary customisation. Review, challenge, and rationalise existing designs to remove complexity and technical debt. Define a minimum viable rollout and phased roadmap that supports rapid scaling across multiple sites and regions without over-engineering. Cross-functional leadership Act as the functional lead across DC Ops, Network Engineering, Procurement, Finance, and Security teams to align requirements and resolve trade-offs. Drive consistent, well-understood processes for asset intake, deployment, move-add-change, RMA, and decommissioning that balance site-level pace with portfolio integrity. Work constructively with system integrators, vendors, and senior stakeholders to protect simplicity, data quality, and long-term scalability when trade-offs arise. ERP and data platform integration Own the Attune and NetBox integrations with NetSuite, procurement systems, monitoring, automation tooling, and downstream data platforms. Help design clean, reliable asset and network data models for downstream use in Palantir Foundry, including capacity, utilisation, and lifecycle analytics. Make clear decisions on what functionality and data belong in Attune and NetBox versus what should live in NetSuite, procurement, or Foundry. Scope and Stakeholders The role focuses primarily on new functionality and site onboarding, alongside fixing, simplifying, and adding integrations to existing systems. You will work closely with: DC Ops and Network Engineering teams. Procurement and Supply Chain teams for hardware intake. Finance teams for fixed asset accounting and capitalisation. Security and Compliance teams for asset and access audits. Internal systems teams managing NetSuite, Foundry, and identity integrations. About You 7+ years of experience with infrastructure asset management, DCIM, and IPAM tooling. Production experience using NetBox at scale and Attune (Hexagon), or a comparable lifecycle platform. Strong fundamentals in data centre operations, network topology, IP address management, and fixed asset accounting. Ability to engage credibly with senior operations and finance stakeholders. Demonstrable experience integrating asset and DCIM platforms with ERPs, procurement, monitoring, and automation systems via API; NetSuite experience is preferred. Experience in data centre, GPU, hyperscale, or other asset-heavy and operationally complex environments. Proven ability to simplify data models and avoid unnecessary complexity. Ability to enforce data quality, validation, and governance in a fast-scaling environment. Ability to navigate disagreements with system integrators, vendors, and senior stakeholders when needed. A forward-thinking mindset that sees asset management as part of a broader data and analytics architecture. Experience working alongside data platforms or analytics teams; curiosity about Palantir Foundry is a plus. What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package, including base salary and equity, with reviews every 12 months. The chance to join a fast-growing tech startup and make your mark on cutting-edge AI infrastructure. A dynamic progression plan tailored to your growth, with opportunities to build new skills, take on new responsibilities, and expand your impact. Human-first flexibility: we trust Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, careers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. This job description outlines the main responsibilities of the position, but it does not cover every duty. Management may assign additional duties, tasks, and responsibilities that align with the role's required skills and qualifications. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $150,000-$204,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers, enabling them to achieve superior results by reducing the complexity of AI development. We thrive on a culture of innovation, ownership, and accountability - where every team member drives their work with excellence. About the Role This is Nscale's first dedicated Google Workspace Platform Engineer role. You'll own Google Workspace as a secure, reliable, and well-governed productivity platform - responsible for its configuration, governance, security posture, integrations, and ongoing improvement across identity, security, support, and the wider technology estate. You'll also evaluate, configure, and support Workspace AI capabilities such as Gemini, introducing them safely and in line with Nscale's broader collaboration strategy. What You'll Be Doing Platform Ownership & Governance Own Google Workspace administration, escalations, and configuration across Gmail, Drive, Calendar, Meet, Groups, and Shared Drives Define and maintain standards for configuration, sharing, lifecycle management, admin access, licensing, and Workspace architecture Configure and maintain security controls including admin access, sharing policies, email security, audit logging, and data-protection settings Support phishing protection, DLP, retention, and incident-response requirements in partnership with Information Security Help maintain audit evidence for SOC 2, ISO 27001, Cyber Essentials Plus, and SOX Identity, Integrations & Support Ensure Workspace integrates effectively with SSO, MFA, SCIM, and joiner/mover/leaver processes Support integrations between Workspace and security, compliance, collaboration, and service-delivery tools Provide escalation support to Technology Operations and create clear runbooks, troubleshooting guides, and knowledge articles Automation & Continuous Improvement Automate repetitive administration, reporting, and lifecycle tasks using Google APIs, Apps Script, PowerShell, Python, or similar Build dashboards and reports for visibility into Workspace health, adoption, security, and compliance Test and roll out new Workspace capabilities - including Gemini - safely and with the right governance in place About You Requirements 5+ years administering Google Workspace in a production environment; experience supporting 2,000+ users preferred Strong hands-on knowledge of Gmail, Drive, Calendar, Meet, Groups, Shared Drives, and Google Admin console Experience configuring Workspace security and governance controls, including sharing policies, admin roles, audit logs, and data protection Scripting or automation experience using Google APIs, Apps Script, PowerShell, or Python Strong documentation skills and ability to communicate effectively with technical and non-technical audiences Nice to Have Google Workspace Administrator certification Experience with DLP, retention, eDiscovery, or Google Vault Experience configuring Gemini for Google Workspace or similar enterprise AI tools Familiarity with Okta or other identity platforms Exposure to SOC 2, ISO 27001, Cyber Essentials Plus, or SOX What We Can Offer You Highly competitive package, including base salary and equity, with reviews every 12 months Meaningful ownership as the first dedicated owner of a platform central to how Nscale works Dynamic progression plan tailored to your ambitions Human-first flexibility: we trust Nscalers to deliver and give you the autonomy to shape your day Equal Opportunities We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, careers, and people from lower socioeconomic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $150,000-$204,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AND ACTIVE SECRET CLEARANCE. Role Description: This role works within Defense Unicorns' Army Domain and serves as a mission-focused technical leader responsible for driving customer success, delivery execution, and adoption of Defense Unicorns solutions across Army mission portfolios. The Senior Mission Manager works closely with Army customers, engineering teams, and senior mission leaders to ensure successful delivery of secure software and platform capabilities. This individual owns the translation of mission requirements into actionable work, drives execution across cross-functional teams, and serves as a trusted technical advisor to customers throughout the delivery lifecycle. This role is ideal for individuals with significant operational military experience, technical solution delivery experience, or customer-facing engineering backgrounds who can own mission outcomes independently and help shape the direction of Army delivery efforts. Key Responsibilities: Develop and maintain deep expertise in Defense Unicorns products and capabilities, including UDS, Fleet, Zarf, and supporting platform technologies Translate customer requirements, mission needs, and operational challenges into actionable work items and delivery plans Own mission outcomes and delivery execution with minimal oversight Manage backlog management, sprint planning, prioritization, and delivery tracking activities Work directly with Army stakeholders to understand mission objectives, gather requirements, and communicate progress Effectively communicate technical concepts and solution capabilities to both technical and non-technical audiences Drive identification of customer challenges, future capability needs, and opportunities for expanded support Monitor delivery risks, dependencies, and issues while coordinating mitigation plans Partner with technical leads, architects, and engineers to ensure solutions align with customer needs and engineering best practices Contribute technical input to proposals, technical responses, white papers, and ROM development efforts Support onboarding and mentoring of team members Participate in hiring activities, candidate interviews, and team-building efforts Serve as a trusted technical advisor to customers throughout the delivery lifecycle Location: This position is based in Hawaii. Team members in this role are expected to work approximately 30% onsite at the designated Hawaii location and 70% remotely . Candidates must reside in or be willing to relocate to Hawaii to meet the onsite work requirements. Required Qualifications: Hands-on experience with Kubernetes in production environments (Azure AKS, AWS EKS, or on-prem distributions such as RKE2, K3s, or OpenShift) Experience with Helm for packaging and deploying containerized applications Working knowledge of GitOps workflows and Infrastructure-as-Code tools (Terraform, OpenTofu) Familiarity with hybrid cloud architectures, including networking, RBAC, and storage for cloud and on-prem clusters Understanding of DevSecOps/DevOps principles and CI/CD pipelines (GitLab or GitHub) Experience working with or supporting the U.S. Army, Army Software Factory, or similar DoD software organizations Strong communication skills and effectiveness in a fully remote team environment Self-motivated and able to work independently with minimal supervision Willingness to travel as needed for on-site training and support Preferred Qualifications: Experience with system image creation, architecture design, and deployment pipelines Experience with Zarf, UDS, or similar air-gapped deployment tooling Comfortable serving as a primary customer-facing technical resource, including production support and platform guidance DoD IAT Level II certification (such as Security+) The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. $142,375 - $192,625 USD Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns' customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On Kubernetes Cloud Environments (AWS/GCP and Azure) Infrastructure-as-code (like Terraform/Pulumi) Continuous Delivery and automation tooling GitOps Containers CNCF projects and open source products and packages Helm/Kustomize-Value Stream Mapping Building and improving security delivery Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/Vision Premiums are 100% Company Paid Health Savings Account Life Insurance Disability Insurance Financial: 401k Retirement Plan Company Stock Options Home Office Budget Leave: We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year's Paid Parental Leave Learning: Reimbursement for approved trainings/subscriptions Conferences (travel, lodging, and fees) Don't have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. You will be the product manager working on the mission to strengthen our self-managed distribution of Appian by analyzing trends in customer use cases, prioritizing the delivery of essential features and enhancements, and driving adoption of Appian on Kubernetes. You will be responsible for the direction and roadmap of the Appian on Kubernetes offering, ensuring reliable, high-performance operations for customers running Appian in their own managed environments. This role emphasizes a connection to the customer. You will form relationships with key points of contact within our customers' organizations and must be equally comfortable conversing with deeply technical IT staff and executives alike. You will use your prior experience with deploying and managing containerized software in Kubernetes environments to explain to customers how Appian on Kubernetes adheres to cloud-native principles and meets enterprise-grade requirements. Likewise, you will use your deep domain knowledge to understand and analyze customer-provided use cases and enhancement requests to judge suitability for the future product backlog. T his role is based at our headquartered in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. What You'll Do Define and execute the product roadmap for Appian on Kubernetes. Prioritize product investments based on customer feedback, business impact, and technical strategy. Partner closely with Engineering to define requirements, refine backlog priorities, and guide implementation. Collaborate with architects and engineers to design scalable, cloud-native platform capabilities. Establish clear product boundaries between customer-managed infrastructure and Appian-managed functionality. Write detailed product requirements and specifications for engineering teams. Track feature adoption and success through customer feedback, product metrics, and usage analytics. Own the product lifecycle from ideation through documentation, launch, and ongoing enhancements. Partner with Sales, Marketing, and Customer Success to support go-to-market initiatives and product positioning. Build strong relationships with enterprise customers to understand complex deployment challenges and influence future product direction. Basic Qualifications 5+ years of experience in Product Management or Software Engineering within an enterprise software organization. Bachelor's degree in Computer Science, Engineering, or a related technical field. Experience managing products supporting both SaaS and customer-managed deployments. Strong understanding of cloud-native technologies and Kubernetes. Experience working with containerized applications throughout the deployment and operational lifecycle. Knowledge of enterprise infrastructure concepts including scalability, availability, resiliency, and security. Excellent communication skills with the ability to translate complex technical concepts for both technical and executive audiences. Experience partnering directly with enterprise customers to influence product strategy. Preferred Qualifications Experience with Kubernetes platforms such as Amazon EKS, Azure AKS, Google GKE, Red Hat OpenShift, Rancher, or VMware Kubernetes Service. Experience building or supporting Internal Developer Platforms (IDPs). Familiarity with software deployments in denied, degraded, intermittent, and limited (DDIL) environments. Understanding of enterprise data sovereignty and regulatory requirements, including frameworks such as DORA. Experience supporting customers in highly regulated industries, including government, financial services, healthcare, or life sciences. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $125,000-$250,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role We are looking for an experienced Infrastructure Product Manager to lead strategy for our internal infrastructure teams. Our mission is to abstract the complexity of both public cloud providers (such as Azure) and on-prem deployments (Frontier AI Lab), enabling our developers to move faster, ship more reliably, and operate at a lower cost. In this role, you will act as a force multiplier for our entire engineering organization, overseeing a complex ecosystem that supports everything from core compute primitives to in-house built distributed systems such as KEQ, Cloudless Blob, Splitter, LogProc, and others. What You'll Do Drive Product Strategy: Own the roadmap for our internal services and platforms, including Core Compute (Kubernetes), Networking (Service Mesh/Istio), extensive in-house storage primitives (Postgres, Redis/Valkey, Kafka, CRDB, etc.), DevEx/Observab/Costs platforms Data and ML platforms, Security Platform. Champion Developer Velocity: Reduce friction by building and maintaining best-in-class developer experiences, including monorepo build systems and automated release pipelines. Enforce Reliability: Define and implement reliability standards across our stack to ensure high uptime and system stability for groups operating on our infrastructure. Optimize for Efficiency: Build and manage tools for cost attribution and optimization to ensure our infrastructure scales efficiently with our business. Pioneer New Domains: Spearhead infrastructure initiatives for high-growth areas Collaborate at Scale: Work closely with engineering leadership to align product development with long-term technical architecture. What We're Looking For Technical Fluency: A strong preference for candidates with a background in engineering in the infrastructure space. Scale Experience: Demonstrated success in product management at well-known, large-scale tech companies or high-growth infrastructure-focused startups. Product Rigor: A background in translating technical requirements into high-impact features. Strong judgment in balancing roadmap ambitions with the operational health, stability, and maintainability of the platform. Data-driven decision-making: Comfort with metrics such as SLOs, adoption, and cost efficiency, and a track record of using them to drive prioritization. Bar Raiser Mentality: A desire to challenge the status quo, championing operational excellence, and pushing teams to innovate faster. Communication across altitudes: The ability to go deep with engineers on architecture while also articulating the business value of infrastructure investments to executive stakeholders. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Franciscooffice. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $224,000 - $284,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role We are looking for an experienced Infrastructure Product Manager to lead strategy for our internal infrastructure teams. Our mission is to abstract the complexity of both public cloud providers (such as Azure) and on-prem deployments (Frontier AI Lab), enabling our developers to move faster, ship more reliably, and operate at a lower cost. In this role, you will act as a force multiplier for our entire engineering organization, overseeing a complex ecosystem that supports everything from core compute primitives to in-house built distributed systems such as KEQ, Cloudless Blob, Splitter, LogProc, and others. What You'll Do Drive Product Strategy: Own the roadmap for our internal services and platforms, including Core Compute (Kubernetes), Networking (Service Mesh/Istio), extensive in-house storage primitives (Postgres, Redis/Valkey, Kafka, CRDB, etc.), DevEx/Observab/Costs platforms Data and ML platforms, Security Platform. Champion Developer Velocity: Reduce friction by building and maintaining best-in-class developer experiences, including monorepo build systems and automated release pipelines. Enforce Reliability: Define and implement reliability standards across our stack to ensure high uptime and system stability for groups operating on our infrastructure. Optimize for Efficiency: Build and manage tools for cost attribution and optimization to ensure our infrastructure scales efficiently with our business. Pioneer New Domains: Spearhead infrastructure initiatives for high-growth areas Collaborate at Scale: Work closely with engineering leadership to align product development with long-term technical architecture. What We're Looking For Technical Fluency: A strong preference for candidates with a background in engineering in the infrastructure space. Scale Experience: Demonstrated success in product management at well-known, large-scale tech companies or high-growth infrastructure-focused startups. Product Rigor: A background in translating technical requirements into high-impact features. Strong judgment in balancing roadmap ambitions with the operational health, stability, and maintainability of the platform. Data-driven decision-making: Comfort with metrics such as SLOs, adoption, and cost efficiency, and a track record of using them to drive prioritization. Bar Raiser Mentality: A desire to challenge the status quo, championing operational excellence, and pushing teams to innovate faster. Communication across altitudes: The ability to go deep with engineers on architecture while also articulating the business value of infrastructure investments to executive stakeholders. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Franciscooffice. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $224,000 - $284,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We're hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments-so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you'll lead LLM-first, evaluation-driven initiatives-near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you'll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You'll partner closely with Product Managers, Engineering Managers, Data Science, Design, and platform teams to take systems from early prototypes to reliable, scaled production. You will also serve as the technical lead for ML in this space-reporting to a Director and acting as the first ML Engineering hire in this org-helping define the technical roadmap, establish engineering standards, and lay the foundation for scaling the domain and team over time. This is a high-agency, high-impact role with direct levers on user trust, relevance, and shopping outcomes across high-traffic Pinterest surfaces (organic and paid). What you'll do: Own end-to-end technical delivery for cross-team initiatives-from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration. Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain. Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces. Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance. Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations. Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales. Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans-and to turn ambiguous needs into concrete ML deliverables. Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes. Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team-enabling faster, safer iteration with AI/ML tooling and best practices. Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity. What we're looking for: 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems. Demonstrated ability to lead 0 1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact. Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact. Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs. Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes. Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost. Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail. Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations. Bachelor's degree in Computer Science, Engineering, or a related technical field-or equivalent practical experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $222,716-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .

Lead Software Engineer (Go, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We're hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments-so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you'll lead LLM-first, evaluation-driven initiatives-near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you'll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You'll partner closely with Product Managers, Engineering Managers, Data Science, Design, and platform teams to take systems from early prototypes to reliable, scaled production. You will also serve as the technical lead for ML in this space-reporting to a Director and acting as the first ML Engineering hire in this org-helping define the technical roadmap, establish engineering standards, and lay the foundation for scaling the domain and team over time. This is a high-agency, high-impact role with direct levers on user trust, relevance, and shopping outcomes across high-traffic Pinterest surfaces (organic and paid). What you'll do: Own end-to-end technical delivery for cross-team initiatives-from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration. Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain. Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces. Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance. Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations. Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales. Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans-and to turn ambiguous needs into concrete ML deliverables. Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes. Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team-enabling faster, safer iteration with AI/ML tooling and best practices. Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity. What we're looking for: 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems. Demonstrated ability to lead 0 1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact. Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact. Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs. Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes. Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost. Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail. Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations. Bachelor's degree in Computer Science, Engineering, or a related technical field-or equivalent practical experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $222,716-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We're hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments-so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you'll lead LLM-first, evaluation-driven initiatives-near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you'll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You'll partner closely with Product Managers, Engineering Managers, Data Science, Design, and platform teams to take systems from early prototypes to reliable, scaled production. You will also serve as the technical lead for ML in this space-reporting to a Director and acting as the first ML Engineering hire in this org-helping define the technical roadmap, establish engineering standards, and lay the foundation for scaling the domain and team over time. This is a high-agency, high-impact role with direct levers on user trust, relevance, and shopping outcomes across high-traffic Pinterest surfaces (organic and paid). What you'll do: Own end-to-end technical delivery for cross-team initiatives-from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration. Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain. Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces. Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance. Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations. Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales. Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans-and to turn ambiguous needs into concrete ML deliverables. Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes. Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team-enabling faster, safer iteration with AI/ML tooling and best practices. Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity. What we're looking for: 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems. Demonstrated ability to lead 0 1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact. Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact. Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs. Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes. Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost. Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail. Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations. Bachelor's degree in Computer Science, Engineering, or a related technical field-or equivalent practical experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $222,716-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Why Join Exadel We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what's next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A global technology company headquartered in the United States, specializing in personal computing, printing solutions, and related services. It focuses on secure, sustainable, and high-performance solutions that enable productivity and support digital transformation across industries. What You'll Do Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows. Document current-state and target-state architecture for Martech consolidation initiatives. Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms. Define unified data and business process flows across the ecosystem. Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations. Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives. Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions. Contribute to implementation planning, sequencing, and governance for consolidation workstreams. Produce clear architecture documentation, decision logs, and dependency views to support execution teams. Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards with strong failover/vulnerability plan. Summarize/execute the recommendation of similarly overlapping applications to converge into a simplified app supporting the future proof AI initiatives Work with business, product, engineering, security, and operations stakeholders to translate needs into practical architecture decisions. Contribute to implementation planning, sequencing, and governance for consolidation workstreams. Produce clear architecture documentation, decision logs, and dependency views to support execution teams. What You Bring Strong experience in enterprise architecture, solution architecture, or systems integration roles. Demonstrated experience supporting platform consolidation, transformation, or rationalization programs. Working knowledge of Martech ecosystems, customer data flows, marketing automation, digital experience platforms, APIs, and integration patterns. Ability to work effectively across technical and business teams and communicate clearly with multiple stakeholder groups. Experience producing architecture artifacts, integration documentation, and implementation guidance. English level Upper-Intermediate/Advanced Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $125-145 USD hr. Actual compensation will be determined based on experience, skills, qualifications, geographic location, and business needs. Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Privacy Notice: Applicant data will be collected and processed in accordance with applicable state privacy laws, including the California Consumer Privacy Act (CCPA) where applicable. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

About this role: Wells Fargo is seeking a Technology Director to lead the Application Network Services product area. ANS provides both emerging and foundational application security functions, as well as end to end delivery of a suite of network and security services. Role will lead the teams which provide load balancing services and protect internet-facing web applications against vulnerabilities, application layer distributed denial of service (DDoS) attacks, and bot detection through our cloud-based security solution, Virtual Front Door (VFD). These teams also provide centralized coordination of applications network services, including firewall, load balancing, VFD, and DNS. In this role, you will: Manage a team of engineering managers and engineering leads Focus on delivering commitments aligned to enterprise strategic priorities Build support for strategies with business and technology leaders Guide development of actionable roadmaps and plans Identify opportunities and strategies for continuous improvement of software engineering practices Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers Identify financial management and strategic resourcing Set risk management guidelines and partner with stakeholders to implement key risk initiatives Develop strategies for hiring engineering talent Lead implementation of projects and encourage engineering innovation Collaborate and influence all levels of professionals including more experienced managers Lead team to achieve objectives Interface with external agencies, regulatory bodies or industry forums Manage allocation of people and financial resources for Technology Strategic Leadership Develop and guide a culture of talent development to meet business objectives and strategy Required Qualifications: 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of management or leadership experience Desired Qualifications: In depth knowledge with Network and Security services such as load balancers, firewalls, application layer DDoS protection, DNS Experience in financial services Experience managing in a complex, matrixed environment and comfortable leading and executing through influence. A can-do attitude and an agent to drive velocity and change. Highly effective and proven consultative leader with strong business and data-driven acumen, to drive continuous improvement in a data-driven way. Job Expectations: This role is not eligible for visa sponsorship Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $215,000.00 - $355,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 27 Sep 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role: Wells Fargo is seeking a Technology Director to lead the Application Network Services product area. ANS provides both emerging and foundational application security functions, as well as end to end delivery of a suite of network and security services. Role will lead the teams which provide load balancing services and protect internet-facing web applications against vulnerabilities, application layer distributed denial of service (DDoS) attacks, and bot detection through our cloud-based security solution, Virtual Front Door (VFD). These teams also provide centralized coordination of applications network services, including firewall, load balancing, VFD, and DNS. In this role, you will: Manage a team of engineering managers and engineering leads Focus on delivering commitments aligned to enterprise strategic priorities Build support for strategies with business and technology leaders Guide development of actionable roadmaps and plans Identify opportunities and strategies for continuous improvement of software engineering practices Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers Identify financial management and strategic resourcing Set risk management guidelines and partner with stakeholders to implement key risk initiatives Develop strategies for hiring engineering talent Lead implementation of projects and encourage engineering innovation Collaborate and influence all levels of professionals including more experienced managers Lead team to achieve objectives Interface with external agencies, regulatory bodies or industry forums Manage allocation of people and financial resources for Technology Strategic Leadership Develop and guide a culture of talent development to meet business objectives and strategy Required Qualifications: 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of management or leadership experience Desired Qualifications: In depth knowledge with Network and Security services such as load balancers, firewalls, application layer DDoS protection, DNS Experience in financial services Experience managing in a complex, matrixed environment and comfortable leading and executing through influence. A can-do attitude and an agent to drive velocity and change. Highly effective and proven consultative leader with strong business and data-driven acumen, to drive continuous improvement in a data-driven way. Job Expectations: This role is not eligible for visa sponsorship Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $215,000.00 - $355,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 27 Sep 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role: Wells Fargo is seeking a Technology Director to lead the Application Network Services product area. ANS provides both emerging and foundational application security functions, as well as end to end delivery of a suite of network and security services. Role will lead the teams which provide load balancing services and protect internet-facing web applications against vulnerabilities, application layer distributed denial of service (DDoS) attacks, and bot detection through our cloud-based security solution, Virtual Front Door (VFD). These teams also provide centralized coordination of applications network services, including firewall, load balancing, VFD, and DNS. In this role, you will: Manage a team of engineering managers and engineering leads Focus on delivering commitments aligned to enterprise strategic priorities Build support for strategies with business and technology leaders Guide development of actionable roadmaps and plans Identify opportunities and strategies for continuous improvement of software engineering practices Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers Identify financial management and strategic resourcing Set risk management guidelines and partner with stakeholders to implement key risk initiatives Develop strategies for hiring engineering talent Lead implementation of projects and encourage engineering innovation Collaborate and influence all levels of professionals including more experienced managers Lead team to achieve objectives Interface with external agencies, regulatory bodies or industry forums Manage allocation of people and financial resources for Technology Strategic Leadership Develop and guide a culture of talent development to meet business objectives and strategy Required Qualifications: 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of management or leadership experience Desired Qualifications: In depth knowledge with Network and Security services such as load balancers, firewalls, application layer DDoS protection, DNS Experience in financial services Experience managing in a complex, matrixed environment and comfortable leading and executing through influence. A can-do attitude and an agent to drive velocity and change. Highly effective and proven consultative leader with strong business and data-driven acumen, to drive continuous improvement in a data-driven way. Job Expectations: This role is not eligible for visa sponsorship Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $215,000.00 - $355,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 27 Sep 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.