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Manager, AI Solutions Engineering — Data-as-a-Service

Snorkel AI

Hybrid Full-time Lead $190k – $260k/yr Yesterday

About the role

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 between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. 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.

Role: Manager, AI Solutions Engineering — Data‑as‑a‑Service

Locations: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); US (Remote)

About the Role

Snorkel AI is hiring a Manager of AI Solutions Engineering to build and lead our presales technical team within the Data‑as‑a‑Service organization. Your team of AI Solutions Engineers partners with leading AI labs on their most challenging 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 of the time is spent on people leadership (hiring, coaching, developing the team) and the other half on hands‑on technical work on strategic accounts. You will set the technical bar for spec quality, build playbooks and processes that let the team scale, and influence how the function operates—from process and standards to team culture. The role also partners closely with AE leadership on pipeline strategy, account coverage, and SE allocation, and works cross‑functionally with Delivery, Research, and Engineering to ensure smooth handoffs.

Main Responsibilities

  • Recruit, hire, and develop AI Solutions Engineers, 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 customer research teams.
  • Serve as escalation point for technically complex or high‑stakes customer situations.

Basic Qualifications

  • 5+ years of experience in applied ML, AI solutions engineering, technical presales, or research‑intensive customer‑facing roles.
  • 2+ years managing or leading technical individual contributors, ideally in a presales or solutions engineering organization.
  • 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.
  • 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 customer researchers.
  • B.S. in Computer Science, Machine Learning, or related field.

Preferred Qualifications

  • Track record of hiring and developing technical talent.
  • Ability to work in a fast‑moving environment, comfortable with ambiguity and rapid iteration.

Compensation

  • Salary range: $190,000 – $260,000 USD
  • Variable compensation and equity also available.

Benefits & Culture (Be Your Best at Snorkel)

  • Opportunity to shape priorities and initiatives, influence strategic decisions, and directly impact company success.
  • Support for deepening technical expertise, exploring leadership opportunities, and learning new skills across multiple functions.
  • Environment designed for growth, learning, and shared success.

Equal Employment Opportunity

Snorkel AI is an Equal Employment Opportunity employer committed to building a team that represents a variety of backgrounds, perspectives, and skills. We provide equal employment opportunities to all employees and applicants and prohibit 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 law. Reasonable accommodations are available for individuals with disabilities throughout the application and interview process.

Requirements

  • 5+ years of experience in applied ML, AI solutions engineering, technical presales, or research-intensive customer-facing roles
  • 2+ 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
  • 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 customer researchers
  • B.S. in Computer Science, Machine Learning, or related field

Responsibilities

  • Recruit, hire, and develop AI Solutions Engineers, 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 customer research teams
  • Serve as escalation point for technically complex or high-stakes customer situations

Benefits

equity

Skills

AIAI Solutions EngineeringDPOLLMsMLRLRLAIFRLHFtraining data pipelines

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