--- title: 'Director, Forward Deployed Researcher - Data as a Service at Snorkel AI' canonical: 'https://feeny.ai/job/director-forward-deployed-researcher-data-as-a-service-snorkel-ai-new-york-w4pfpqaex7jn' type: 'job' last_seen: '2026-09-12' --- # Director, Forward Deployed Researcher - Data as a Service at Snorkel AI - **Company:** Snorkel AI - **Location:** New York, NY / San Francisco, CA / United States - **Compensation:** $228k–$403k - **Work type:** remote - **Posted:** 2026-03-25 - **Last confirmed live:** 2026-09-12 - **Apply:** https://job-boards.greenhouse.io/snorkelai/jobs/5837448004 ## Job description ## About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! ## About the Role Snorkel AI is hiring a Director, Forward Deployed Researcher on the Data-as-a-service team. Your team will partner directly with frontier AI labs on their hardest data problems: scoping training data needs, designing RL environments, developing evaluation frameworks, and translating customer research objectives into actionable technical plans. This is a player-coach role. Roughly half your time goes to people leadership (hiring, coaching, developing your team) and the other half to hands-on technical work on strategic accounts. You set the technical bar for spec quality and build the playbooks and processes that let the team scale. You influence how the function operates, from process and standards to team culture. You partner closely with AE leadership on pipeline strategy, account coverage, and SE allocation. You also work cross-functionally with Delivery, Research, and Engineering to ensure smooth handoffs. The right person for this role can hold their own with frontier AI researchers, has strong presales instincts, and wants to build a team. Main Responsibilities - Recruit, hire, and develop the forward deployed research team, coaching the team on technical quality, customer engagement, and career growth - Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables - Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline forecasting - Establish team processes and playbooks for discovery, spec development, and knowledge sharing - Lead technical conversations on select strategic accounts, including scoping, solution design, and partnership with frontier AI research teams - Serve as escalation point for technically complex or high-stakes customer situations ## Preferred Qualifications - 8+ years of experience in applied ML, AI solutions engineering, technical presales, or research-intensive customer-facing roles - 5+ years managing or leading technical individual contributors, ideally in a presales or solutions engineering org - Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments - Track record of hiring and developing technical talent - Experience operating against revenue or pipeline goals in a GTM organization - Excellent communication skills, able to coach a team, partner with sales leadership, and engage credibly with frontier AI researchers - Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration - B.S. in Computer Science, Machine Learning, or related field Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly — offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. The base salary range for this position is $228,800–$403,200, depending on location, experience, and qualifications. This role is also eligible for variable compensation. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $228,000—$403,200 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. ## About Snorkel AI ## Company Overview - **One-liner**: The frontier AI data lab helping teams build the data and environments behind high-performing frontier models and agentic AI. - **Entity Type**: Private (multiple funding rounds; latest venture round in 2024; total funding $250.2M) - **Headquarters**: Redwood City, California, United States - **Founded**: 2019 - **Founders**: Not explicitly listed in provided sources; company originated from the Stanford AI Lab ## Core Business - **Primary industry**: AI data development, software development, AI/ML research - **Target customers**: B2B; frontier AI labs, enterprises, government agencies - **Mission**: “We’re building the data and environments behind the world’s most advanced AI systems.” ## Products & Services - **Custom Data Development**: Bespoke datasets, evaluation frameworks, and benchmark expansions for specialized AI models and agents. Type: Service / Platform. - **Specialized Agents**: Agents grounded in expert data, evaluated against task-specific rubrics and programmatic checks. Type: AI solution. - **Snorkel Data Series**: Curriculum-structured datasets with rubrics, reviewer guidance, difficulty tiers, and eval slices. Type: Dataset product. - **Evaluation Research**: Proprietary frameworks like RIFT (Rubric Failure Mode Taxonomy) and benchmarks such as OSWORLD 2.0 and Terminal-Bench 2.0. Type: Research / tooling. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Annual Revenue $38.6M (LinkedIn estimate) | Total Funding $250.2M (9 rounds) - **Notable Investors/Partners**: Addition, Greylock, GV (Google Ventures), In-Q-Tel, Lightspeed Venture Partners, funds managed by BlackRock, QBE Ventures - **Growth Signals**: Headcount grew 62.5% YoY to 801 employees; operates in 15 countries; trusted by leading AI labs and enterprises; 250+ publications at top conferences (NeurIPS, ICML, ICLR, etc.) ## Competitive Advantages - **Proprietary data development process** based on programmatic data labeling and weak supervision, pioneered at Stanford AI Lab - **Deep academic roots** with ongoing research collaborations and peer-reviewed publications - **Focus on frontier AI data quality** (task specification, calibrated review, provenance) rather than volume - **Embedded delivery model** combining platform, research, and domain expertise ## Strategic Focus - Building the data and environments for frontier models and agentic AI - Expanding into enterprise and government deployments - Advancing research on RLVR (Reinforcement Learning with Verifiable Rewards) in low-data regimes - Creating evaluation standards for agentic systems (e.g., Terminal-Bench, OSWORLD 2.0) ## Why Work Here - **Culture**: “Quality first”, “Push the frontier”, “Competitive yet kind” – fast-moving, high bar, no ego - **Locations**: Primarily San Francisco, Redwood City, and New York City, with remote/hybrid options globally - **Benefits**: Comprehensive medical coverage, parental leave for birthing and non-birthing parents, flexible PTO, equity refresh grants, wellbeing allowance, company events - **Engineering culture**: Work with PhDs, subject matter experts, and domain specialists on cutting-edge AI data challenges - **Open roles**: 45 positions across Research, Engineering, Sales, Operations, Product, etc. (as of latest posting) ## Sources 1. [snorkel.ai/company/](https://snorkel.ai/company/) 2. [snorkel.ai/](https://snorkel.ai/) 3. [snorkel.ai/join-us/](https://snorkel.ai/join-us/) 4. [linkedin.com/company/snorkel-ai](https://www.linkedin.com/company/snorkel-ai) 5. 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