Manager, AI Solutions Engineer

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. 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! 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 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 have real influence over how the function operates, from process and standards to team culture. The role also means partnering closely with AE leadership on pipeline strategy, account coverage, and SE allocation, and working cross-functionally with Delivery, Research, and Engineering to ensure smooth handoffs. The right person for this role is technically deep in AI/ML, has strong presales instincts, and wants to build a team. 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 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 Preferred Qualifications Track record of hiring and developing technical talent Experience operating against revenue or pipeline goals in a GTM organization Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration Compensation The salary range is $190,000 - $260,000 USD Variable and equity ... (truncated, view full listing at source)