Head of Forward Deployed Engineering

Snorkel AI
New York, Redwood City, San Francisco
Workplace: HybridFull timeUSD 220,000 - 330,000 annuallyFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Leadership","Communication","Stakeholder management","Problem-solving","Mentoring"]

Lead and scale the Forward Deployed Engineering (FDE) team delivering high-quality data and ML datasets for enterprise AI initiatives. Own end-to-end data pipelines, HITL workflows, and data-centric delivery, coordinating with customers and cross-functional teams to drive measurable quality and enable rapid, scalable data delivery.

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FursaFursa
Snorkel AI
Snorkel AI
4 months ago

Head of Forward Deployed Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead and scale the Forward Deployed Engineering (FDE) team delivering high-quality data and ML datasets for enterprise AI initiatives. Own end-to-end data pipelines, HITL workflows, and data-centric delivery, coordinating with customers and cross-functional teams to drive measurable quality and enable rapid, scalable data delivery.
Location: New York, Redwood City, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Director level

Key Responsibilities

  • •Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
  • •Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact
  • •Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
  • •Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
  • •Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps

Pay and Benefits

Salary: USD 220,000 - 330,000 annually

Key Requirements

  • •10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
  • •Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows
  • •Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
  • •Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
  • •Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
Experience:10+ yearsData engineeringMLLLMData pipelines
Skills:LeadershipCommunicationStakeholder managementProblem-solvingMentoring
Languages:English
Tech Stack:PythonSQLPandasPlotlyStreamlitDash

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn