Director, Research – Evaluation & Training

Snorkel AI

Manager leading a team of researchers focused on data evaluation and error analysis at Snorkel AI. Emphasizing business outcomes from research and technical analysis with a client-centric approach.

Posted 6/12/2026full-timeSan Francisco • California • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact

Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques
Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in — making this team a primary input to the company's data strategy.
Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance
Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution
Act as the primary bridge between the team's findings and Product, GTM, and our customers

Requirements

What you’ll need

7+ years in applied AI, ML, or research roles, with 4+ years managing technical teams.
A leader who has repeatedly turned research and analysis into business outcomes, and who instinctively connects technical findings to market and customer needs.
Strong business and market judgment in the AI/ML space — you understand the competitive and frontier-lab landscape and can prioritize accordingly.
Technically conversant and credible: enough depth in LLM evaluation, benchmarking, and model behavior analysis to set direction, judge experimental quality, and pressure-test results — without needing to be the deepest technical expert in the room.
A nose for trends: able to look across many evaluation results and failure cases and extract the signal that should drive what gets built next.
Excellent communication and storytelling skills, with the ability to make technical results legible and persuasive to non-research audiences.
Familiarity with data valuation or data attribution research is a strong plus.
Bonus: experience working with frontier labs, public benchmarks, or commercial AI data/eval products.

Benefits

Comp & perks

Health insurance
Paid time off
Flexible working arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

applied AImachine learningLLM evaluationbenchmarkingmodel behavior analysisdata valuation techniqueserror analysisdata attribution research

Soft Skills

leadershipcommunication skillsstorytellingbusiness judgmentmarket judgmenttrend analysisteam management