Hiring: Manager, Forward Deployed Engineering Company: Snorkel AI Location: New York, NY Job Posted Time: 2026-09-11 07:37:32 Target Skills & Keywords : Data Pipeline, LLM, Python, SQL About the job Experience: •6+ years of experience in AI/ML/GenAI engineering, forward deployed engineering, solution engineering or applied AI roles, with strong hands-on technical depth •2+ years of experience leading or managing engineers in a hands-on, player-coach capacity •2 years Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems Required Skills: •Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. •This team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale. •Lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable. •This is a hands-on, player coach role where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects. •You’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads. •Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution •Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence •Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks Qualifications: •Operational familiarity with synthetic data generation or model-assisted labeling techniques. Compensation: •$200,000 - $320,000 / year •All offers also include equity in the form of employee stock options, as well as benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!