Product Architect Jobs

Capco France recherche un·e PDLC/SDLC Expert – Python & GenAI pour accompagner les acteurs majeurs de la banque et des services financiers dans l'optimisation et la transformation de leurs cycles de développement produit et logiciel. Au sein de notre Practice Technology & Engineering, vous interviendrez à l’intersection du Software Engineering, de l’automatisation et de l’intelligence artificielle pour concevoir et déployer des solutions améliorant la qualité, la rapidité et la fiabilité du développement logiciel. Vous travaillerez aux côtés des équipes Engineering, Architecture, DevOps et Product pour analyser les pratiques existantes, identifier les opportunités d’amélioration et accompagner l’évolution des méthodes de développement. Vous jouerez un rôle clé dans l’intégration de la GenAI et des workflows AI-enabled au sein des cycles PDLC/SDLC, de la conception à la mise en production, en veillant à maintenir la supervision humaine, la sécurité, la traçabilité et les standards de qualité. Vos missions : Analyser et optimiser les cycles Product Development Lifecycle (PDLC) et Software Development Lifecycle (SDLC) afin d’améliorer la qualité, la productivité et la fiabilité des processus de développement. Concevoir et développer des solutions et outils d’automatisation en Python, notamment pour les activités de développement, de tests, de validation et de maintenance logicielle. Intégrer des capacités de GenAI et des workflows AI-enabled dans les pratiques d’ingénierie, notamment pour l’assistance au développement, la génération et la revue de code, la documentation et l’automatisation des tests. Collaborer avec les équipes Engineering, DevOps, Architecture et Product pour industrialiser les solutions, renforcer les pratiques CI/CD et accompagner leur adoption. Évaluer l’efficacité des solutions déployées et garantir une utilisation responsable de l’IA, avec des mécanismes de contrôle, de validation humaine, de traçabilité et d’escalade adaptés

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We're building memory technologies that power everything from AI to mobile devices. Our team works at the intersection of architecture, system analysis, and product innovation to improve energy efficiency and performance in next-generation DRAM solutions. If you enjoy solving complex technical challenges and influencing product direction through data-driven insights, you'll find exciting opportunities here. As a DRAM Power Engineer you will play a key role in shaping the power efficiency of future AI enabled memory products. You will analyze power behavior, develop models and methodologies, and influence architectural decisions that balance power, performance, and energy efficiency. This role offers broad exposure across engineering disciplines and the opportunity to work closely with teams throughout the product development lifecycle. Responsibilities: Perform AI assisted DRAM power analysis, including IDD characterization, workload-based modeling, and power breakdown analysis Develop and maintain power models, methodologies, and tools to evaluate DRAM architectures and power-performance tradeoffs Translate system and customer power requirements into recommendations that drive architectural and product decisions Define and support DRAM power targets throughout product development Partner with Design, Product Engineering, and System Architecture teams to identify and implement power improvemen

About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and deliver full-stack web applications and integrations that support go to market workflows Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: 5+ years of professional software engineering experience, excluding internships, on product-driven teams. Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. About OpenAI OpenAI is an AI research and deplo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As Principal Pricing Strategy Manager, you will serve as the strategic architect of product pricing across Everpure’s portfolio, driving commercial growth, margin optimization, and market expansion. Operating with broad autonomy, you will integrate advanced financial modeling, competitive intelligence, and practical AI application to transform complex data into high-impact pricing frameworks. Collaborating closely with Product Management, Sales, Finance, Monetization, and Executive leadership, you will establish repeatable, data-backed monetization strategies that maximize enterprise revenue and scale pricing operations globally. WHAT YOU'LL DO Architect Strategic Pricing Frameworks : Lead portfolio-wide product pricing strategies, elasticity modeling, and SKU-level margin evaluations to optimize revenue growth and commercial competitiveness. Drive End-to-End Monetization Initiatives : Partner with Product Management, Finance, Operations, and Sales leadership to design, execute, and monitor market-aligned pricing structures and commercial policies. Pioneer AI-Enabled Pricing Operations : Integrate practical AI workflows and automated modeling techniques to accelerate scenario planning, elevate decision-making speed, and build scalable pricing processes. Lead Cross-Functional Governance & Alignment : Establish clear pricing methodology, decision frameworks, and executive materials to align senior stakeholders a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description Join Micron’s SSD Hardware Architecture organization, where we develop the technologies that power next-generation storage solutions. We work across architecture, silicon, firmware, and product engineering teams to deliver high-performance SSD controllers that meet demanding standards for quality, reliability, and innovation. As a Staff SSD Hardware PCIe Engineer, you will play a key role in bringing advanced SSD controller technologies to life. This position offers the opportunity to lead PCIe subsystem validation, debug complex system-level challenges, and influence future product capabilities while collaborating with highly skilled engineering teams across the organization. Responsibilities: Develop hardware and system specifications from architectural and product requirements Lead PCIe bring-up, characterization, debugging, validation, and compliance activities for SSD controller SoCs Par

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Design intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron’s SSD Hardware Architecture organization, where we develop the technologies that power next-generation storage solutions. We work across architecture, silicon, firmware, and product engineering teams to deliver high-performance SSD controllers that meet demanding standards for quality, reliability, and innovation. As a Staff SSD Hardware PCIe Engineer, you will play a key role in bringing advanced SSD controller technologies to life. This position offers the opportunity to lead PCIe subsystem validation, debug complex system-level challenges, and influence future product capabilities while collaborating with highly skilled engineering teams across the organization. Responsibilities: Develop hardware and system specifications from architectural and product requirements Lead PCIe bring-up, characterization, debugging, validation, and compliance activities for SSD controller SoCs Partner with architecture, verification, firmware, product engineering, and external IP vendors to resolve issues and improve functionality Drive system-level validation methodologies, automation, and test development to improve coverage and efficiency Perform root-cause analysis and validate PCIe functionality across complex SSD use cases Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Electronics Engineering, or a related field, or equivalent experien

About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together.

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

About the Role: As a Senior Software Engineer at K Health, you are the champion of technical excellence for a high-stakes portfolio of clinical AI and a suite of products that serve the patients and the physicians. We don't just build apps; we build, and operate modern, AI-powered, 24/7 virtual clinics for the nation’s largest health systems. In this role, your mission is to architect a product ecosystem where reliability, privacy, and performance are non-negotiable. You will lead the development of reusable components and resilient architectures that exude trust, ensuring that every patient interaction is seamless and every clinical data point is secure. You will be a "multiplier," creating the foundational frameworks that allow us to deploy 5-star experiences across a portfolio of partners without sacrificing the quality our users depend on. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. What you will do: Architect for Trust: Design and drive a unified product engineering strategy that supports a portfolio of products and solutions, prioritizing modularity, reusability, and extreme resiliency. Full-Stack Ownership: Own the end-to-end lifecycle of products and features, from multi-platform clients, to the Kotlin/JVM-based backend services that power them. Quality as a Feature: Define and enforce standards for high-stakes engineering—ensuring that performance, accessibility, and data privacy are baked into the architecture, not added as afterthoughts. Platform Innovation: Proactively modernize our systems to leverage agentic AI tools that improve developer productivity and team efficiency. Platform Evolution: Build and maintain the shared libraries and DSLs that enable rapid, high-quality deployments for our health system partners. Technical Stewardship: Act as a stabilizing force in complex technical situations, bringing clarity to ambiguous requirements and making informed decisions that

About the job Lead the team that proves our AI silicon performs reliably before it reaches customers. You will build and lead Graphcore's characterisation capability for next generation silicon and system platforms. Your work will help ensure our products perform consistently across real world conditions. You will define bring up and characterisation strategies, lead technical execution, and shape the lab infrastructure needed for success. You'll work across silicon, hardware, manufacturing, architecture and product teams to solve complex engineering challenges. This is a hands on leadership role with the opportunity to influence both product design and how Graphcore validates future AI systems. The team and culture This is a newly formed team within Manufacturing Operations. You'll have the opportunity to establish how the team works while building strong partnerships across engineering and operations. Day to day, you'll work closely with architecture, silicon, hardware, production test and product teams. Decisions are driven by data, technical evidence and close collaboration across disciplines. We value ownership and clear communication. You'll be trusted to lead technical direction, remove blockers and help teams make progress with confidence. What we're looking for Essential Proven track record of delivering complex technical projects as an individual contributor, manager, or project manager, with the ability to work independently and drive execution. Strong expertise in silicon digital device design, bring-up, characterisation, and silicon process technologies, with an understanding of their impact on transistor- and system-level performance. In-depth knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and scripting/coding to develop automated test and analysis workflows, with familiarity of ATE systems and t

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron's Data Center Workload Engineering team tests how memory and storage products perform in complete data center systems. We deploy customer-representative AI, database, virtualization, and software-defined storage workloads in production-class labs. We trace I/O from the application through the system to the SSD to explain performance and identify opportunities to improve it. As a Principal Systems Performance Engineer, you will lead complex performance studies from the initial question through the final recommendation. You will personally lead the hardest investigations while setting technical direction for the team. Your work will guide SSD architecture and product development and help customers get the best performance from Micron products. This is a hands-on senior individual-contributor role. Key Responsibilities Lead application performance studies on enterprise servers, GPU-accelerated systems, and data center storage platforms. Deploy customer-representative workloads across one or more areas, such as AI training and inference, checkpointing, KV-cache offload, data preparation, databases, virtualization, and software-defined and object storage. Develop test plans with clear hypotheses, realistic configurations, appropriate controls, and repeatable methods. Instrument systems and trace I/O from the application through the software and storage stack to the SSD. Measure application throughput

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion is looking for an experienced engineer who has designed and built secure software systems to help define the security foundations for our AI products. You’ll work with product and engineering teams on agent runtimes, tool permissions, retrieval, content writes, observability, and abuse-resistant design. You’ll turn product risks into clear architecture, reusable guardrails, automated tests, and production systems that help teams ship new features safely. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Define and build security architecture for product surfaces that operate across customer workspace content, including tool execution, content writes, retrieval, permission checks, provenance, and auditability. Make the secure path the easy path for product teams by shipping reusable libraries, review patterns, test fixtures, and guardrails that prevent classes of vulnerabilities.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal HBM RTL Designer, you will serve as a technical leader driving the front‑end digital design of next‑generation High Bandwidth Memory (HBM) products. This role requires deep expertise in RTL architecture, build methodology, and multi-functional technical leadership. You will own complex design blocks end‑to‑end—from architectural definition through production‑quality implementation—while mentoring engineers, influencing design strategy, and ensuring world‑class design execution. Responsibilities: Define, architect, and lead the development of advanced RTL blocks for HBM subsystems, ensuring alignment with product requirements and architectural goals. Own end‑to‑end front‑end design, including micro‑architecture, RTL development, simulation strategy, and design quality. Drive technical decisions across circuit development, synthesis, constraints, and physical‑design integration, ensuring timing, power, and area compliance. Champion design methodologies, develop reusable frameworks, and improve RTL design flows, validation strategies, and sign‑off processes. Collaborate closely with physical design, verification, architecture, and product engineering to integrate subsystems and deliver high‑quality silicon. Lead root‑cause analysis and corrective actions for complex design issues, ensuring long‑term design robustness. Communicate effectively at all levels, contributing to technical planning, project execution, and cross‑organizational alignment. Minimum Qu