Ai Product Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a key technical contributor within the High Bandwidth Memory (HBM) Product Engineering – Media Health team, you will play a critical role in driving Media Health manufacturing execution for Micron’s latest next ‑ generation HBM products, including DRAM die, interface die, and stacked HBM solutions. You will be responsible for Best ‑ in ‑ Class HBM product enablement, with direct technical ownership across the core manufacturing KPIs of Quality, Cost, Cycle Time, and Scale. Your contributions will include manufacturing test flow development and validation, device ‑ and stack ‑ level yield improvement, and delivery of optimized extrinsic and intrinsic reliability through deep circuit debug, test coverage optimization, and innovative test strategies. In this role, you will drive manufacturing test time reduction, enhance overall manufacturing efficiency, and contribute to Design ‑ For ‑ Test (DFT) strategy development, introducing new ideas that improve cost competitiveness, cycle time, and product quality. You will work closely with cross ‑ functional partners—including Fab, Product Leads, Design Engineeri

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary As an AI Product Owner, AT Cost, you will be part of Micron's Smart Manufacturing and Artificial Intelligence organization, responsible for identifying, developing, and implementing AI-driven solutions that improve cost competitiveness across Back-End (Assembly & Test) operations. You will partner with AT Manufacturing, Central Cost, Procurement, Engineering, and Program Management teams to identify value engineering opportunities, optimize manufacturing costs, and scale data-driven decision making. Success in this role requires deep understanding of Assembly & Test operations, strong cost management expertise, and the ability to translate operational challenges into high-impact AI and analytics solutions. Main Responsibilities Drive identification and implementation of AI-enabled cost reduction and value engineering initiatives across As

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable. We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users. Some examples of what we are building: Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation. AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library. AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience. Role Overview We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the c

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking an accomplished AI Product Sales Specialist to drive sales execution for our AI/ML workload within the Enterprise market. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Artificial Intelligence and Machine Learning capabilities. RESPONSIBILITIES Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list Execute tailored sales plays to capture market opportunities in AI/ML, helping customers optimize their use of Snowflake's platform. Work directly with customers to understand their AI/ML needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements. Become an expert in Snowflake’s Artificial Intelligence and Machine Learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s AI/ML capabilities. Work with our Account Executives, Sales Engineers and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment Track, an

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a AI Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business. The team applies industry-leading methodologies in automation, artificial intelligence (AI) , and generative AI (GenAI) to enhance Micron’s product development, business, and administrative processes across the company. Responsibilities and Tasks Own and shape strategic roadmap of yield smart manufacturing solutions (YMS applications), work with users to capture and analyze information related to the adoption of SMAI solutions. Identify gaps, weaknesses, and inefficiencies in current solutions, including opportunities for AI-driven enhancements. Define business solutions and propose projects for implementation, work with fab engineers and data scientist to solve tactical yield issue, leveraging data science, AI and GenAI technologies where applicable. <li style="co

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 Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business. The team applies industry-leading methodologies in automation, artificial intelligence (AI) , and generative AI (GenAI) to enhance Micron’s product development, business, and administrative processes across the company. Responsibilities and Tasks Support DRAM technology development, which includes deployment of existing smart-manufacturing solutions to TD as well as the development of new customized tools/solutions for TD. Work with users to capture and analyze information related to the adoption of apps for Smart Manufacturing. Identify gaps, weaknesses, and inefficiencies in current solutions, including opportunities for AI-driven enhancements. Define business solutions and propose projects for implementation, leveraging AI and GenAI technologies where applicable. Lead projects and activities requiring coordination, support, and management of resources from global teams. Collaborate with Data Engineers and Data Scientist to design, execute, and deliver smart manufacturing solutions. Use metrics and performance data to identify opportunities for improvement, including predictive analytics and intelligent decision support. Provide domain and system expertise; collaborate with data sci

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

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 Build the most advanced AI Meeting Notes product — and expand it into broader “AI data capture” features that help teams turn conversations into durable context, tasks, and knowledge. Our mission is to 10x the rate of business context & data that enters Notion — optimized for agents — so teams get superhuman memory across workstreams and customers. Notion workspaces that use AI Meeting Notes already enter 6x more data on a daily basis, so we’re well on our way. What You'll Achieve Ship end-to-end product experiences across capture → transcript → summary → follow-ups (full-stack ownership). Make meeting & data capture feel effortless and magical (e.g., speaker identification via audio waveforms, richer in-meeting UX, smarter organization). Improve summary quality that teams trust: structure, factuality, and citations that make downstream agents and humans more capable. Raise the bar on reliability & observability across the pipeline (SLOs, debugging workflows, incident response) for realtime systems. Build agentic meeting workflows that turn discussions into tasks, follow-ups, and organized knowledge — so “w

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. We're seeking a Lead AI Product Designer to join our Design Team, focused on inventing how AI-powered devices can learn about and assist our users. You'll alternate between deep exploratory work and shipping features that will fundamentally change how people interact with technology. You will architect complex AI-powered systems and craft interfaces that proactively anticipate user needs. Success in this role requires a proven track record of bringing creative AI vision to life through the technical validation of concepts using cutting-edge AI technologies. You'll have the space to explore challenging problems while maintaining a clear focus on shipping products that work. Our goal is to create technology that feels obvious once you experience it. We're looking for designers who can envision a world where AI computing enhances our human capabilities rather than demanding our attention. We welcome applications from candidates of all backgrounds who are excited to help reshape how humans and computers work together. What you might do Lead the definition of AI experiences across HP IQ, setting design d

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in San Francisco. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission. Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model. Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes. Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users. Build for enterprise trust by shaping AI governance, admin contr

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: You will join the Sailfin Accounts Receivable (AR) Team , a product engineering team within the Finance & Accounting domain. We build and maintain an enterprise-grade AR product used by global customers. The team works with modern engineering practices, AI/ML capabilities, automation, and deep integrations across platforms such as Salesforce, Celonis, and other enterprise systems. This role sits at the intersection of Quality Engineering + AI-driven automation + enterprise data integration . The Role: (#LI-SR1) We are looking for an AI Quality Engineer who can build next-generation intelligent automation and quality frameworks. This role goes beyond traditional QA—it combines strong automation engineering, enterprise integration understanding, and AI-assisted quality improvement. You will architect automation frameworks, drive end-to-end quality strategy, and build smart testing capabilities powered by LLMs and AI agents. Most importantly, you will test the bridge between the world’s #1 CRM (Salesforce) and the world’s #1 Process Mining platform (Celonis) —a complex, data-heavy integration that powers enterprise decision-making. The work you’ll do: Architect the Automation Foundation Design, build, and maintain a

Senior Product Manager, Prolific for AI Team: Product, Research & Design Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role As we scale our AI Product Group, we're looking for a Senior Product Manager to take founder-level ownership of the tooling that lets frontier AI model developers conduct cutting-edge research on Prolific. Increasingly, our AI customers are among the leading AI companies in the world, and this role will additionally lead a team of client-facing engineers dedicated to building strategic integrations and rapid, bespoke development for their most demanding needs. You'll report into the AI Lead, and join a brilliant team of Product Managers building next-generation AI tooling within our AI Product Group. Impact: You'll be the Product person accountable for the outcomes of a stream-aligned team building next-gen tooling for frontier AI model developers, and also prioritise for impact the work of a client-facing engineering team. This is a career-defining moment to shape how some of the world's biggest technology companies build AI – no big deal. You'll own how our most strategic AI clients experience Prolific end to end, from product to bespoke integration. Experience: You'll bring experience building AI native systems, with particular experience building AI native UX. You'll have had success taking complex human workflows and distilling them into highly adaptable technical systems, then scaling access to those systems across multiple interaction surfaces – UI, APIs, CLIs, and MCPs. You'll also have experience directly managing engineers, ideally in a client-facing or solutions-engineering capacity, and know how to turn a sophisticated client's b

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p

About the team The Applied AI Engineering, Sign in with ChatGPT team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an Applied AI Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to help pa