Frontier Ux Engineer Jobs

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This will involve designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of Snorkel’s tooling. Develop and implement state of the art AI systems such as retrieval-aug

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Snorkel's Marketing team shapes how the AI industry understands frontier data development. We're a team spanning brand, content, communications, product marketing, growth, community, and events, and we work directly with our founders and research team to turn original research into market-defining stories. Brand sits at the center of that work: it's how a data research lab earns attention from frontier labs, Fortune 500 enterprises, top researchers, and the domain experts who contribute to our work. About the Role We're hiring a Principal Brand Designer to own the evolution of Snorkel's brand identity. Snorkel has changed faster than its brand has. You'll close that gap: defining where the visual identity goes next, building the system that carries it, and making sure every surface, from the website to a NeurIPS booth to a benchmark leaderboard, looks like it came from the most rigorous lab in AI. This is a senior individual-contributor role with real leverage and autonomy. You'll be hands-on in the work, and you'll also manage our design agency and a bench of freelance contractors, setting direction, reviewing work, and holding a high bar across everything they ship. This role reports to the CMO. Responsibilities Own the brand identity. Lead the next evolution of Snorkel's visual identity, including logo system, typography, color, illustration, iconography, data visualization, motion, and photography direction. Build and govern the brand

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We're hiring a Director of Data Partnerships to lead a new function at Snorkel. You'll own the supply side of our data partnerships end-to-end: setting the strategy for how we source and procure private data, building the partner / supplier pipeline, structuring agreements, and working with the business to bring it all to life. It is an entrepreneurial, external-facing role that will drive top-of-funnel and convert opportunities into real value. The market for training data partnerships is nascent and rapidly changing - business judgment is key to success in this role. Finally, cross-functional collaboration and a sense of overall ownership are key to ensuring we get value from the partnerships we strike. This role will require hands-on, zero to one work. You'll be sourcing, qualifying, and negotiating directly. You'll own the funnel, form a sound but swift view on whether an opportunity is worth pursuing and know which terms to offer and how to negotiate them to close. You'll carry those relationships forward after signature rather than handing them off. As the function proves out, you'll build a small but mighty team behind you and shift toward setting direction, standards, and performance expectations. This is a high-impact role for someone with sharp commercial judgment, meaningful experience in licensing and IP, the creativity and range to operate in a market whose economics and value chain are still being defined - and, critically,

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Director of Expert Supply Growth to build and lead the engine that brings high-quality experts into Snorkel’s AI Expert Network. This role is hybrid ( 3 days/week in office) in San Francisco, CA or New York, NY. This role owns supply acquisition end to end: translating demand for specific skills and domains into a channel strategy, then ensuring those channels produce qualified experts who activate, complete accepted work, and remain available when the business needs them. You will lead a portfolio that includes scaled acquisition, referrals and community, partnerships with industry organizations and higher-education institutions, and BPO and staffing partners. You will decide which levers to use by domain, geography, worker type, lead time, quality, and economics, then build the team, systems, partnerships, and operating cadence required to scale them. What You’ll Do Define the long-term expert acquisition strategy. Determine how Snorkel will attract, develop, and retain the expert capabilities that strengthen its AI Expert Network as a strategic asset. Build a differentiated base of human intellectual capital through distinctive sourcing channels, trusted communities and partnerships, and durable expert relationships. Focus investment on capabilities and network strengths that improve the company’s ability to serve customers and are difficult for competitors to replicate. Own the end-to-end supply growth str

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Please note: This is a three-month contract position requiring 40 hours per week. Snorkel AI is seeking a detail-oriented Payments Operations Associate to support the compensation lifecycle for a broad and growing network of Expert Contributors who power our LLM data development efforts. You'll be the front line for expert support - investigating and resolving contributor payment issues and discrepancies with clarity, professionalism, and technical rigor. You'll sit at the intersection of data operations, finance, product, and program teams, working within complex pay structures that include quality-based incentives. This is a great opportunity for a detail-driven, technically capable operator with a customer-support mindset to join a fast-moving team at the forefront of AI data development. Main Responsibilities Own the day-to-day queue of payment support tickets, serving as the primary point of contact for expert-facing communications on pay issues, discrepancies, and disputes. Investigate ticket issues by auditing contributor data and complex payment systems with dynamic bonus structures; flagging errors or inconsistencies Resolve contributor’s pay disputes with clear, professional communication, escalating complex or sensitive issues as needed. Build and maintain SQL queries, scripts, automations and payment audit dashboards to speed up ticket investigation and reduce manual, repetitive work. Collaborate with Delivery, Operations, Fin

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role The Fellow Program is a critical new initiative at Snorkel AI, designed to build and scale the expert workforce powering our ability to deliver exceptional outcomes for customers. We are building the people foundation for a program that will grow through rolling cohorts, new geographies, and a potential workforce expected to scale into the thousands. We are looking for a strategic, entrepreneurial Staff HRBP to help shape what this program becomes. This is not a traditional support role. You will own the people strategy and operating model for one of Snorkel’s most important growth initiatives, partnering directly with senior leaders to design how Fellows are hired, onboarded, developed, deployed, recognized, and supported throughout their employment lifecycle. This is a rare 0-to-1 opportunity for a thoughtful builder who enjoys turning ambiguity into momentum. You will create the programs, practices, and manager capabilities that enable a new workforce model to scale with quality, speed, and a standout employee experience. The work you do will have a visible impact on our Fellows, our customers, and Snorkel’s ability to scale. This role is hybrid ( 3 days/week in office) in San Francisco, CA. What You'll Do This role reports to the Senior Director, People Programs & Partnerships, and will focus on: Own the people strategy and operating model for the Fellow Program, translating ambitious program goals and workforce needs into a clea

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't. Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout. Measurement for AI data. Build golden datasets, quantify the accuracy and calibratio

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York City, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communicate findings. Partner with engineering, data operation, domain experts, and customers to turn research prototypes into reliable production workflows. Work directly with domain experts to design and test workflows that help them author, review, and refine data and environments. Work cros

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Coding Fellows create high-quality technical content used to train and evaluate AI systems. Depending on the project and each Fellow’s strengths, their work may include writing and reviewing code, opening pull requests, creating annotations or documentation, improving others’ work, and coaching peers. We are looking for a leader to directly manage a portfolio of Fellows who may contribute across multiple projects over time. Project delivery teams own day-to-day tasks, priorities, and outcomes; this role owns the people-management layer across projects, including expectations, performance, support, development, administration, and a fair, consolidated view of each Fellow’s contribution. This is a people-first role. You should have enough technical depth to understand and discuss Fellow work, but you will not be the day-to-day technical lead or approver for every project. What you will do Lead and support Coding Fellows Build trusted relationships through regular one-on-ones and ongoing communication. Understand each Fellow’s strengths, goals, challenges, and support needs; set clear expectations; and partner with People Operations and project leaders on onboarding and administrative matters. Own cross-project performance management Set expectations for quality, reliability, collaboration, communication, flexibility, learning, and professional conduct. Gather and synthesize feedback across projects, accounting for assignment complexity, pro

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role Snorkel is hiring a Head of Security to build and lead our security function end-to-end — infrastructure security, application security, and governance, risk & compliance (GRC). You'll own the security function end-to-end — strategy, team, and execution — and operate as the primary security voice with customers, auditors, and the exec team. You'll report to the CTO. This is a builder's role: you'll take security from its current state to a mature, right-sized function as Snorkel scales, hiring and developing the team as needs grow. Key Responsibilities Security Leadership & Team Building Define Snorkel's overall security strategy, goals, and roadmap across infrastructure, application, and compliance domains Build, hire, and lead a high-performing security organization — starting lean and scaling deliberately as the company and its risk surface grow Establish the operating cadence for security (metrics, reporting, incident response, risk register) and represent security posture to the executive team and board Infrastructure & Cloud Security Own cloud security architecture and posture across AWS (and other cloud providers as adopted) — IAM, network segmentation, encryption, landing zone design Direct detection & response capabilities, threat modeling, and vulnerability management programs Set standards for secure infrastructure-as-code, CI/CD, and secrets management Application Security Embed security into the product develo

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Counsel, Commercial What You’ll Do Snorkel AI is looking for a Counsel, Commercial to join our growing Legal team, reporting to Snorkel’s Associate General Counsel, Commercial. This is a key role across Snorkel’s commercial contracting function, including vendor agreements and customer agreements. You will serve as a trusted legal partner to business teams across the company, drafting, reviewing, and negotiating a wide range of commercial contracts while helping build scalable processes. You’ll work closely with cross-functional stakeholders, combining strong commercial legal skills with the hands-on, execution-oriented approach required in a fast-growing technology company. This hybrid role is based in San Francisco or New York City. Responsibilities Draft, review, and negotiate a broad range of commercial contracts, including vendor and customer agreements, NDAs, MSAs, SOWs, order forms, and other commercial arrangements. Serve as a trusted legal partner to cross-functional teams on commercial contracts. Manage a high volume of contracts and competing priorities, ensuring timely execution and alignment with business objectives. Review and negotiate commercial agreement efficiently and identity when issues require escalation or cross-functional input. Contribute to the development and continuous improvement of contract templates, playbooks, and negotiation guidelines to drive consistency and efficiency across the commercial contracting process. Manage

Perplexity API Platform Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. About this role Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seaso

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role The Strategic Delivery Lead is the senior operator accountable for turning a pod’s ambition into reliably delivered, high-quality work. This role is hybrid ( 3 days/week in office) in San Francisco, CA or New York City, NY. You will own the performance of a portfolio spanning samples, off-the-shelf datasets, proprietary data products, and bespoke engagements, connecting GTM, Research, Delivery, Product, Engineering, and Expert AI Supply to ensure the right work is prioritized, staffed, and executed. This is a highly cross-functional role: you will lead through influence cross functionally and directly manage a team of strategic project leads (SPLs), bring clarity to complex tradeoffs, and personally intervene when quality, delivery, or customer outcomes are at risk. You will be the pod’s owner for margin performance and operating economics, with a clear view of cost-to-deliver, gross margin, capacity, and the operational choices that drive them. While you will not set pricing, your cost, scope, and delivery inputs will directly inform pricing and commercial decisions. In partnership with Product, Research and Forward Deployed Engineering, you will translate the domain’s strategy and priority bets into an executable roadmap, mobilizing the teams required to bring it to life and building the systems, rhythms, and playbooks that make the model stronger with every launch. What You'll Do Own your pod’s margin performan

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team The Marketing team at Snorkel AI powers the engine behind our brand, community, and go-to-market success. We are high-ownership operators who lead independently, align cross-functionally, and deliver results. We partner with Research, Product, Sales, and executive leadership to turn complex AI work into stories the market pays attention to. About the Role This is a hands-on, results-measured role. You'll find the angles inside our research, benchmarks, customer work, and executives' points of view and turn it into something that lands. You report to the Senior Director of Integrated Marketing. Responsibilities Own communications. Set and run the comms plan: press, podcasts, awards, and be a facilitator on organic speaking. Own the calendar, the priorities, and the results. Find the story. Mine research, benchmark results (e.g., Open Benchmarks Grants, leaderboards), customer wins, and market moments for angles that balance what Snorkel needs to say with what a reporter, host, or judge finds interesting. Pitch and place. Secure mainstream and tier-1 trade coverage, podcast appearances, and speaking slots in-house (no agency). Write and find the right stories. Collaborate with Research, Product Marketing, and Content to turn insights into a coordinated package: release, byline, data cut, social, podcast talk track. Awards and speaking. Manage awards pipeline/submissions and organic speaking proposal calendar. About You You're a strate

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role We're looking for our founding AI Data Product Manager to own Snorkel's Agentic Data and RL Environments roadmap. In this role, you'll lead the product strategy for a variety of data types (e.g. Agentic Coding, Computer Use). You will shape the roadmap for the datasets Snorkel invests in by understanding the market, incorporating frontier lab needs and collaborating with researchers at Snorkel and our academic partners. This role is highly cross-functional, sitting between Research, GTM and Operations. As a founding member for this role, you will be in charge of setting up the frameworks to build the roadmap, gather data from relevant sources, and share the roadmap with both internal and external stakeholders. What You'll Do Own the "data as a product" roadmap for Snorkel's Agentic and RL Environment focus areas, working x-functionally with research, academic partners, and GTM to define the skills and capabilities for our datasets Shape new "data" product areas and work with academic partners and research leaders to build Snorkel's competitive edge in the market Collaborate cross-functionally to help shape the roadmap and data strategy and influence business strategy Minimum Qualifications 4-6 years of experience shaping technical roadmaps and working with researchers as stakeholders Comfort with ambiguity and working with multiple technical and non-technical stakeholders Experience working in fast-paced environments, setting up 0→1 products AI