Ai Product Engineer Jobs

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 Role We are seeking a Senior Finance Manager to serve as a key partner to Mixpanel’s Engineering, Product, and Design (EPD) organizations. This person will own infrastructure cost, EPD opex, and headcount planning while building scalable systems to improve visibility and decision-making, as well as the analytical frameworks that guide how Mixpanel deploys capital and allocates resources across these areas. You’ll partner cross-functionally with Engineering and Product leadership, People, and Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. Responsibilities Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining efficient spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottoms-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Agent Product Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions. Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues. About the Role On the Agent Product Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant s

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000 , DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role We're looking for a Senior Product Engineer who brings real passion, innovation, and entrepreneurial drive to the systems millions of people rely on to learn. You'll take large, ambiguous projects from idea to impact with real autonomy — prototyping, measuring, and iterating in fast feedback loops rather than grinding through tickets. You'll have a strong voice in what gets built and how, partnering closely with Product, Design, and fellow engineers to ship work you're proud of and to sweat the details that make it great. This is an AI-native team, not an AI-curious one. Agentic coding tools like Claude Code and Codex are core to how we work every day, alongside LLMs and AI APIs. We expect engineers to lean on them to prototype faster, raise code quality, and spend more time on the hard problems that matter most for the people we build for. If you’re excited about building great products, shaping the future of how DataCamp builds and ships, and working on systems that operate at scale, we’d love to hear from you. Responsibilities Own product or platform projects end-to-end — idea, build, release, measurement, iteration — with the autonomy to make them count. Shape the technical direction of the systems you work on, from architecture through implementation. Own the services you ship and keep them scalable, reliable, and observable as they grow — and increasingly, those services are powered by LLMs. Raise the bar for technical decisions and architecture across scalable, reliable, and maintainable sy

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000 , DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role We're looking for a Senior Product Engineer who brings real passion, innovation, and entrepreneurial drive to the systems millions of people rely on to learn. You'll take large, ambiguous projects from idea to impact with real autonomy — prototyping, measuring, and iterating in fast feedback loops rather than grinding through tickets. You'll have a strong voice in what gets built and how, partnering closely with Product, Design, and fellow engineers to ship work you're proud of and to sweat the details that make it great. This is an AI-native team, not an AI-curious one. Agentic coding tools like Claude Code and Codex are core to how we work every day, alongside LLMs and AI APIs. We expect engineers to lean on them to prototype faster, raise code quality, and spend more time on the hard problems that matter most for the people we build for. If you’re excited about building great products, shaping the future of how DataCamp builds and ships, and working on systems that operate at scale, we’d love to hear from you. Responsibilities Own product or platform projects end-to-end — idea, build, release, measurement, iteration — with the autonomy to make them count. Shape the technical direction of the systems you work on, from architecture through implementation. Own the services you ship and keep them scalable, reliable, and observable as they grow — and increasingly, those services are powered by LLMs. Raise the bar for technical decisions and architecture across scalable, reliable, and maintainable sy

About the Job: LaunchDarkly's Product Security team is hiring a Product Security Engineer II to strengthen how we secure the platform engineers build with every day. You'll bring depth in security fundamentals and program design as a member of a small, high-leverage team with strong engineering instincts. LaunchDarkly is critical infrastructure. Our security team keeps it safe for the global systems that depend on us. You'll spend most of your time on threat modeling and cloud security posture, with rotating exposure to the rest of the ProdSec surface area. Your work will help developers move fast without sacrificing security, through automation, guidance, and the kind of partnership that makes the secure path the easy one. You'll report to the Director of Security and work closely with software engineers, product managers, and other security engineers. We expect you to bring a sharp point of view on where AI can take work off the team's plate and make our coverage deeper. Responsibilities: Lead threat modeling engagements on the features and services where the risk warrants it. Partner with the ProdSec lead to evolve the practice from on-request to repeatable, with clear criteria for when an engagement is worth running. Own day-to-day triage of CNAPP findings end to end. Investigate, prioritize, route to service owners, and close the loop. Look for patterns that point to systemic fixes instead of one-off cleanup. Contribute to SDLC tooling, SAST / SCA workflows, and bug bounty triage as the team's work demands. Partner with product engineering teams as a trusted reviewer. Catch issues early, explain the why, propose paths forward. Say no when needed, with reasons and alternatives. Bring AI to the work. Use it to accelerate triage, summarize findings, draft threat models, scan code, and reduce toil. Help the team build durable patterns for safe and effective use, not one-off prompts. Push the security floor up over time through documentation, office hours, small too

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. Experience Level: Engineer / Senior Engineer / Principal Engineer (E1–E5) As an NFI Engineer at Micron, you will support the debug and root cause analysis of NAND-related issues across a wide range of end products, including SSDs, UFS and other NAND-based storage solutions. Working closely with Product Development, System Engineering, Firmware, Quality, and Failure Analysis teams, you will investigate complex issues involving NAND devices, firmware interactions, media management, controller interfaces, and system behavior. You will analyze system logs, characterization data, protocol traces, electrical measurements, and failure analysis results to identify root causes and drive corrective actions. The role involves supporting product qualification and sustaining activities, identifying NAND design marginalities and defectivity-related issues, improving product robustness, and developing automation or AI-assisted workflows to improve debug efficiency and accelerate issue resolution. In addition, you will leverage AI-assisted tools, data analytics, and automation solutions to accelerate debug activities, improve root cause turnaround time, and enhance engineering productivity. Engineers are encouraged to explore innovative approaches using AI technolog

Senior Product Engineer II Team: Engineering 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 a Senior Product Engineer II you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries. What you’ll be doing in the role Define Technical Direction: Partner with the EM to shape the team’s technical roadmap, strategy, and architectural direction. Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team. Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs. Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison. Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team. What you'll bring to this role Technical Leadership: Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems. Engineering Expertise: Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design. Product Mindset: Ability to connect technical decisions to customer and business outcomes while balancing del

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 5+ years of experience in software engineering (full stack experience preferred) Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply ab

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. Principal/Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering 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 key team member within the HIG HBM Product Engineering Advanced Data Analytics team, you will be spearhead and develop a high-performing team to drive initiatives that significantly enhance yield and quality through advanced data analysis, machine learning, and AI. Your responsibilities will include developing cutting-edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentor team members, and fostering innovation to maintain a competitive edge. You will also collaborate with cross-functional teams within and outside of HBM to achieve both strategic and tactical objectives, continually maximizing the effectiveness of the HIG HBM PE organization, focusing on critical KPIs such as quality, cos

Se nior Software Engineer Engineering 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 We’re looking for Senior Software Engineers with a ‘product builder’ mind-set to join our team and take a pivotal role in the development and guidance of our product. As a ‘t-shaped’ engineer, you will bring a broad practical knowledge across various areas of software development, complementing and supporting our growing team whilst likely having a deeper specialism in front or backend. This is an exciting opportunity to leverage your existing skills, experience, and knowledge to significantly influence the trajectory of our product as we aim to revolutionize research. What you’ll bring to the role Deep understanding of modern web applications Experience building Typescript/Javascript applications and using NoSQL databases Experience using Python Knowledge of Event-Driven Architecture Experience using AWS (Serverless) and/or GCP Understand the importance of driving quality into code through test automation Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment. (e.g. Rum, Tracing) Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like Care about the product life cycle and are customer value focused Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback Passionate about software development with an appetite for learning and self-improvement What you’ll be doing in the role As a member of a cross-functional, stream-aligned team, you wi

Se nior Software Engineer - Mexico City Engineering 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 We’re looking for Senior Software Engineers with a ‘product builder’ mind-set to join our team and take a pivotal role in the development and guidance of our product. As a ‘t-shaped’ engineer, you will bring a broad practical knowledge across various areas of software development, complementing and supporting our growing team whilst likely having a deeper specialism in front or backend. This is an exciting opportunity to leverage your existing skills, experience, and knowledge to significantly influence the trajectory of our product as we aim to revolutionize research. What you’ll bring to the role Deep understanding of modern web applications Experience building Typescript/Javascript applications and using NoSQL databases Experience using Python Knowledge of Event-Driven Architecture Experience using AWS (Serverless) and/or GCP Understand the importance of driving quality into code through test automation Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment. (e.g. Rum, Tracing) Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like Care about the product life cycle and are customer value focused Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback Passionate about software development with an appetite for learning and self-improvement What you’ll be doing in the role As a member of a cross-functional, stream-aligned team,

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 DFT (Design for Test) Product Development Engineer in the DRAM Technology group, you will be part of a forward-thinking team of engineers that solves complex problems to develop industry-leading DRAM. In this role, you will gain an in-depth understanding of semiconductor memory functionality and become an expert in the test manufacturing code and testing techniques used to develop, implement, validate, and ensure device performance. You will engage with new technology at the build start to cultivate DFT and Micron’s component test flow philosophy on modern architectures. This will be accomplished through innovation and by multi-functional engagement with partner groups – Build, Test, Technology Development, Manufacturing, Marketing, and Quality Assurance departments. Agentice AI. Responsibilities Partner with Test Manufacturing, Product Engineering, and Design Engineering to provide test guidance, set priorities, and drive improvements in product quality and yield. Develop new DFT concepts and test architectures to support future enhancements in test coverage, efficiency, and test time reduction. Debug and identify root causes of failures using data analysis, elec

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 Technology is seeking a highly motivated Senior Data Science & Product Yield Analytics Engineer to join the Product Yield & Analytic (PYA) organization. This role focuses on applying data science, software engineering, and advanced analytics to semiconductor manufacturing data, with a strong emphasis on Improved Software for Defect Analysis (ESDA) and Electrical Failure Analysis bench testing systems used companywide. In this position, you will employ techniques drawn from statistics, machine learning, semiconductor physics, and large‑scale data engineering to uncover patterns, build predictive models, and develop actionable insights that drive yield, quality, and reliability improvements across Micron’s memory products. You will work closely with Data Scientists, Data Engineers, Product Engineers, Build teams, Yield Enhancement, RDA, Failure Analysis, and IT teams across global sites to develop and expand ESDA capabilities and analytics platforms that directly support manufacturing and product development. Responsibilities: Expand and enhance ESDA capabilities to improve yield, quality, and product reliability. Develop yield, defect matching, and modeling methods to accelerate manufacturing feedback to RDA and YE teams. Create and maintain engineering software tools for ESDA analytics and product line monitoring. Collaborate with design, failure analysis, and product teams to optimize redundancy, compression, and defect analysis methodologies. Support next-ge

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 QEM PQE Engineer at Micron Technology, Inc., you will support the semiconductor memory manufacturing efforts for developing, validating, characterizing, and qualifying new non-volatile memory products, enabling volume manufacturing with improved frontend/backend test yields/product grades and overall Cum Yield performance; and enhance overall reliability by supporting the team in doing yield and failure analysis to identify root cause fail signatures and other yield/product grade limiters. You will leverage an understanding of electrical operation and current fabrication technology of advanced NAND memory products. You will be expected to interact with engineers and technicians across multiple sites responsible for corrective actions (Design, Product Engineering, Research & Development, Test, Quality and Reliability Assurance). Responsibilities: Responsible for new product startup and sustaining high volume product yield/product grade improvement Lead Yield/Product Grade enhancement, including monitoring, performance to plan, and drive improvement Perform data analysis through analysis/statistic tools,