Manager, Forward Deployed Engineering

Snorkel AI
New York, Redwood City, San Francisco
Workplace: HybridFull timeUSD 220,000 - 320,000 annuallyFunction: Software EngineeringExperience: 7+ yearsSkills: ["Leadership","Mentoring","Cross-functional collaboration","Ownership","Problem-solving"]

Lead the Forward Deployed Engineering function within the Data-as-a-Service organization, owning end-to-end AI data pipelines, evaluation frameworks, and HITL workflows. Build and mentor a high-performing team, collaborate across Delivery, Engineering, and Research, and drive scalable data-driven delivery capabilities for complex AI workloads.

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FursaFursa
Snorkel AI
Snorkel AI
4 months ago

Manager, Forward Deployed Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Lead the Forward Deployed Engineering function within the Data-as-a-Service organization, owning end-to-end AI data pipelines, evaluation frameworks, and HITL workflows. Build and mentor a high-performing team, collaborate across Delivery, Engineering, and Research, and drive scalable data-driven delivery capabilities for complex AI workloads.
Location: New York, Redwood City, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •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
  • •Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery; develop scalable internal tooling and workflows for orchestration, monitoring, and delivery
  • •Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities

Pay and Benefits

Salary: USD 220,000 - 320,000 annually

Key Requirements

  • •~7+ years of experience in data engineering, SWE, ML engineering, or applied AI roles with hands-on technical depth
  • •2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
  • •Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs
  • •Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
  • •Strong systems thinking — ability to design scalable, reusable solutions rather than one-off implementations
Experience:7+ yearsData engineeringML engineeringApplied AIProduction environmentsData pipelines
Skills:LeadershipMentoringCross-functional collaborationOwnershipProblem-solving
Languages:English
Tech Stack:PythonSQLAPIsMLLLMData pipelinesProduction

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