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About the Role

Partner directly with frontier AI labs on their hardest data problems, including scoping training data needs, designing RL environments, developing evaluation frameworks, and translating customer research objectives into actionable technical plans. This player-coach role involves approximately 50% people leadership and 50% hands-on technical work on strategic accounts, setting the technical bar and building scalable processes.

Responsibilities

Recruit, hire, and develop the forward deployed research team, coaching 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.

Requirements

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.

Skills

LLMs
Training data pipelines
Evaluation methodologies
RLHF
DPO
RLAIF
Coding agents
Reasoning
Multimodal models
RL environments

Experience Level

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

Education Level

B.S. in Computer Science, Machine Learning, or related field

Salary/Compensations

$185,000–$321,600 USD
Eligible for variable compensation and stock grants

About the Company

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!
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.

Equal Opportunity

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.