Manager, Forward Deployed Engineering
About this role
Snorkel AI is seeking a Manager, Forward Deployed Engineering to build and lead its DaaS delivery technical execution layer in New York City or San Francisco. This hybrid role is well-suited for an experienced technical leader who enjoys a hands-on player-coach position working at the intersection of data engineering, machine learning, and production operations.
Role Overview
In this founding leadership position, the manager establishes how Forward Deployed Engineering partners with Delivery, Engineering, and Research. The role owns the technical systems, workflows, and quality frameworks that power large-scale dataset production. Responsibilities span designing evaluation systems, building ML-assisted workflows, and developing scalable technical foundations for human-in-the-loop data generation.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The base salary range for this position spans from $200,000 to $320,000 per year, with final offers determined by skills, experience, location, and relevant training. Most offers include equity, benefits, and stability combined with a rapid-growth company culture.
About the Company
Originating from the Stanford AI Lab in 2019, Snorkel AI serves as a frontier AI data lab providing research-driven AI data development, datasets, evaluations, and custom solutions for real-world artificial intelligence systems. The company partners with major enterprises and AI labs to shift focus from better data to better outcomes.
How to Apply
Interested candidates should submit their application directly on the official Snorkel AI careers page to join the team.
Skills and tech stack
Questions candidates ask
What locations is this position based in?
This role is offered on a hybrid basis in either New York City, NY or San Francisco, CA.
What is the salary range for the Manager, Forward Deployed Engineering position?
The base salary range is $200,000 to $320,000 USD per year, with most offers also including equity and benefits.
How much experience is required for this role?
Candidates must have 6+ years of experience in AI, ML, GenAI, forward deployed engineering, solution engineering, or applied AI roles, along with 2+ years of management experience.
What technical skills are required?
Applicants need proficiency in Python, SQL, modern data tooling, and API integrations, and must have written code within the last 2 years.
Is this a purely management role?
No, this is a hands-on player-coach role where you will define strategy and architecture while staying closely involved with implementation.