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Staff Ux Researcher Jobs

3,415 active opportunities · Updated for October 2026

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Explore current staff ux researcher jobs. Use filters to narrow by work mode, employment type, experience and date posted.

SA
Scale AI
📍 San Francisco• Full-time• From $288K/yr
19 days ago

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

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SA
Scale AI
📍 San Francisco• Full-time• From $302.4K/yr
19 days ago

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

sqlawsgcp
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SA
19 days ago

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

pythonawsrest
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T
19 days ago

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Staff Digital Design Engineer to help define, build, and optimize high-performance IP and SoC architectures for next-gen AI and compute workloads. This role is ideal for engineers who thrive at the intersection of microarchitecture, RTL implementation, and performance-aware design. This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A digital design expert with a deep understanding of computer architecture and IP microarchitecture. Skilled in RTL development (Verilog/VHDL) and familiar with full ASIC flows. Comfortable optimizing for power, performance, and area (PPA) under aggressive design goals. A naturally collaborative and technical engineer — you thrive in spec definition, peer reviews, and team-wide planning. What We Need Architecture and RTL implementation of Tenstorrent’s custom IP blocks and SoC components. Performance-aware design decisions for compute, interconnect, or memory-heavy blocks. Occasional contributions to validation using emulation, FPGA prototyping, or UVM flows. Strong synthesis and timing closure awareness to support backend

awsgitai
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DU
19 days ago

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in th

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SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Summary We are seeking a highly skilled Test Staff Engineer with deep expertise in Firewall/Security testing and strong hands-on automation . This role requires technical leadership, end-to-end ownership of test strategy for assigned components, and building scalable automation and test tools to ensure high-quality SonicOS releases. Key Responsibilities Own test strategy, planning, execution, and quality sign-off for SonicOS components Architect, develop, and maintain automation frameworks, pipelines, and test tools Drive an automation-first regression strategy and improve overall test coverage Perform complex system, integration, and upgrade/downgrade testing Partner with Dev/PM in design reviews, scrums, and defect triage Lead root-cause analysis and validation of critical customer issues Mentor engineers; review test plans, automation design, and coverage Drive release readiness, escape analysis, and quality metrics Must-Have Skills Minimum 4+ Years of experience in QA and Automation Strong Networking: TCP/IP, Routing, NAT, VLANs, Firewall policies Firewall/Security: VPN, DPI/App Control, IPS, Gate

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

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M
26 days ago

The MongoDB Atlas Clusters Team is seeking a Senior Staff Product Manager to provide division-wide, product leadership for MongoDB Atlas which is our best-in-class, fully managed, multi-cloud database service that simplifies the complexities of deploying and managing highly available database deployments across multiple regions and cloud providers. As the most senior product management contributor, you will shape the multi-year strategy, product architecture, and market trajectory for the entire Atlas Clusters business unit. You will be the primary product authority on the most complex trade-offs, anticipating systemic risks and cutting through structural friction that blocks multiple teams and initiatives. This role requires collaboration with distinguished engineers to rigorously debate strategy and pressure-test assumptions and advise executive leadership on options that balance long-term monetization, strategy, and business outcomes. And, where relevant, owns the pricing and monetization strategy for the product line. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Responsibilities Product Vision and Roadmap: Spearhead strategic unity across multiple product areas over a multi-year horizon to drive a coherent product experience Business Leadership: Originate and de-risk the division’s most consequential strategic bets, owning rigorous business cases and advising leadership on multi-year economic outcomes Customer Advocacy: Engage with strategically significant customers at the senior level (e.g., advisory boards and executive briefings) to surface cross-portfolio opportunities and inform the roadmap PM Excellence: Elevate the global standard of product management by mentoring Staff and Senior PMs and pioneering new data-driven playbooks across the organization. Create frameworks and standards for customer and market research that others use for conducting high-quality customer and market research Cross-Fu

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P
Posthog
📍 United States• Full-time• Remote
28 days ago

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog makes products self-driving . It's the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Desktop , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change wh

REMOTEsqlrestai
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Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ As a Frontend Engineer, you will craft the web apps serving the business needs of our 600,000 customers. You’ll be part of a guild of 100+ engineers shaping the future of Qonto’s financial platform. As we continue to grow, we’re expanding our Frontend guild to deliver new features even faster 🚀 👩‍💻🧑‍💻 As a Frontend Engineer, you will • Craft new features for our customers within a Cross-Functional Team • Participate in a unique project to migrate 1.1 million lines of code from Ember to React. • Make a difference by suggesting and spearheading improvements • Be a key player in teamwork with Product, Design, and other Tech stacks • Work AI-first: use AI as a default part of how you explore the codebase, draft technical designs, prototype solutions, an

REMOTEjavascriptjavareact
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Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ 🌏 Location: You can choose to work in Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, or Spain. Mission: Join us as a Frontend Engineer to craft the web apps that 600,000+ European SMEs rely on every day, from the customer-facing features that make finance simpler to the design system powering every pixel of our product. ➡️ As a Frontend Engineer at Qonto, you will Craft new features for our customers within a squad Team, owning quality from design to production. Grow in technical leadership: lead design discussions, contribute to guild-wide improvement, and raise the bar for developer experience across your peers Be a key player in teamwork with Product, Design, and other Tech stacks Work AI-first: use

REMOTEreactaigo
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Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ 🌏 Location: You can choose to work in Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, or Spain. Mission: Join us as a Frontend Engineer to craft the web apps that 600,000+ European SMEs rely on every day, from the customer-facing features that make finance simpler to the design system powering every pixel of our product. ➡️ As a Frontend Engineer at Qonto, you will Craft new features for our customers within a squad Team, owning quality from design to production. Grow in technical leadership: lead design discussions, contribute to guild-wide improvement, and raise the bar for developer experience across your peers Be a key player in teamwork with Product, Design, and other Tech stacks Work AI-first: use

REMOTEreactaigo
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N
Nuro
📍 Mountain View• Full-time• From $160.4K/yr
1mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Work Lead system-level requirements definition, architecture design, integration strategy, and validation in one of the platform areas — autonomy sensors, AV compute, motion control, pose/localization, or end-to-end latency. Characterize and quantify system performance for that area: define nominal targets, minimum performance, and acceptance criteria across all ODDs, and defend those numbers with data rather than convention. Recommend operating constraints for current and future ODDs on different vehicle platforms — for example trajectory constraints for a given virtual driver, or sensor performance envelopes. Define and quantify test coverage for your area, including the realism and relevance of proposed tests across simulation, SIL/HIL, closed course, and on-road. Partner with software teams to define interfaces, performance metrics, failure modes, and validation strategies; validate platform modules against ground truth whe

pythonaic++
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C
Coder
📍 United States• Full-time• Remote
1mo ago

Coder is looking for a Senior Staff Product Manager to lead our product management function and raise the bar for how we build. You will develop PMs, strengthen product execution, and help turn strategy into measurable outcomes for customers and teams. You will manage a small team of product managers while partnering closely with Engineering, Design, GTM, and executive leadership. You will coach people, improve systems, and keep product decisions grounded in real customer evidence. What you’ll do here Coach and develop product managers at every stage, helping strong executors grow into strategic leaders. Set a high bar for product discovery, planning, execution, and measurement. Partner with Engineering, Design, Customer Success, Sales, and Marketing to align priorities and deliver outcomes. Create clarity around product priorities, tradeoffs, and investment decisions. Build a culture of ownership, accountability, authority, and autonomy across the product organization. Lead customer discovery and ensure product decisions are grounded in objective evidence, not assumptions. Improve how the product organization operates, including planning, roadmap development, product reviews, and decision-making frameworks. Serve as a senior product leader and trusted partner to executive leadership. What we’re looking for Significant product management experience, including experience leading or managing product managers. A strong track record of coaching and developing PM talent. Excellent customer discovery and validation skills, including interviews that uncover objective insights and real customer needs. Sound judgment and pragmatism. You know when to optimize for outcomes, when to improve process, and how to balance strategy with execution. A strong sense of ownership and accountability, with the ability to build those qualities across a team. Clear communication skills and the ability to influence across functions, levels, and priorities. Experience operating in fast-moving

REMOTEawsaigo
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