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Head of Forward Deployed Engineering

Snorkel AINew York City, NY (Hybrid); San Francisco, CA (Hybrid)310 - DaaS FDE
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Salary
$268,800 - $403,200 USD
Job type
Full-time
Posted
13 Mar 2026
Status
Open · checked 8d ago

About this role

Snorkel AI is seeking a Head of Forward Deployed Engineering for a hybrid role located in New York City or San Francisco. This position is ideal for an experienced technical leader who thrives at the intersection of customer engagement, machine learning, and data engineering.

Role Overview

In this role, you will build and lead the forward-deployed engineering team, collaborating directly with major labs and enterprises to scope, build, and deliver high-quality datasets for critical AI initiatives. You will act as a foundational member, designing innovative machine learning approaches to enhance human-in-the-loop techniques and improve the efficiency of data generation and review processes. This position bridges data engineering, machine learning, operations, and customer engagement, requiring both strategic leadership and hands-on contributions.

Key Responsibilities

Build and lead the Forward Deployed Engineering Data-as-a-Service organization, establishing a clear vision and operating model.
Mentor and motivate high-performing technical teams to consistently deliver exceptional outcomes.
Own and evolve data pipeline components, including model-assisted labeling, data generation, quality estimation, and feedback loops.
Partner with research and engineering teams at frontier AI labs to scope complex requirements and translate them into delivery-ready workflows.
Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring.
Collaborate cross-functional to productionize human-in-the-loop data generation methods and advanced quality techniques.

Requirements

10+ years of experience in applied data or machine learning engineering roles.
5+ years of experience leading high-performing technical teams in a hands-on management capacity.
Demonstrated success in customer-facing roles with a strong enthusiasm for data pipelines and language model workflows.
Proven track record of managing technical field teams in fast-paced, delivery-focused environments.
Ability to act as a player-coach, remaining hands-on while supporting and scaling the team.
Strong practical experience with language model workflows, Python, and SQL.

Nice to Have

Experience working with data annotation workflows or internal tooling for data delivery organizations.

Skills and Tools

Python
SQL
LLM workflows
Data tooling such as pandas, Plotly, Streamlit, and Dash
Data pipeline design and management
Human-in-the-loop ML techniques

Salary and Benefits

The base salary range for this role is $268,800 to $403,200 per year. This position may also be eligible for benefits, variable compensation, and equity, with final compensation determined based on experience, skills, qualifications, and geographic location.

About the Company

Founded out of the Stanford AI Lab in 2019, Snorkel AI is the frontier AI data lab that helps teams build the data and environments behind high-performing frontier and agentic AI. The company combines technology with research-driven AI data development to create datasets, benchmarks, evaluations, and custom solutions for real-world AI systems.

How to Apply

Candidates interested in this opportunity should visit the official Snorkel AI careers page to submit an application.

Skills and tech stack

Questions candidates ask

What locations is this role available in?

This hybrid role is available in New York City, NY, and San Francisco, CA.

What is the salary range for the Head of Forward Deployed Engineering?

The base salary range is $268,800 to $403,200 USD per year, with potential eligibility for benefits, variable compensation, and equity.

How many years of experience are required?

Candidates must have 10+ years of experience in applied data or machine learning engineering, including 5+ years leading technical teams in a hands-on management capacity.

What technical skills are necessary for this position?

Required technical skills include practical experience with language model workflows, Python, SQL, and data tooling such as pandas, Plotly, Streamlit, and Dash.

What background does Snorkel AI have?

Snorkel AI was founded out of the Stanford AI Lab in 2019 and focuses on research-driven AI data development for frontier and agentic AI systems.

Ready to apply?

The application is on the official Snorkel AI careers page.

Apply on company site