Snorkel AI

Manager, Forward Deployed Engineering

Snorkel AI$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in AI/ML/GenAI engineering or related roles
  • 2+ years of experience in a hands-on leadership position
  • Strong background in building and operating data pipelines in production
  • Proficiency in Python, SQL, and modern data tooling; recent coding experience required
  • Experience designing and implementing evaluation frameworks and quality systems
  • Ability to design scalable solutions with a systems thinking approach
  • Experience navigating fast-paced, ambiguous environments, preferably in startups.

Responsibilities

  • Build and lead the Forward Deployed Engineering function with clear operating standards
  • Hire, mentor, and develop a high-performing engineering team
  • Design and evolve end-to-end AI data pipelines for dataset generation
  • Drive development of ML-assisted workflows to enhance data production speed
  • Establish measurement systems for consistent, high-quality dataset delivery
  • Develop internal tooling for orchestration and monitoring to reduce bottlenecks
  • Collaborate with cross-functional teams to integrate new approaches into DaaS.

Benefits

  • Stability of working with a company that has proven market solutions
  • Opportunities for professional growth and skill development
  • Involvement in shaping strategic decisions and priorities
  • Direct impact on company success through your contributions
  • A dynamic environment that supports both technical expertise and leadership exploration.
Full Job Description
About the Role

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.

You will 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.
Main 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
  • Drive development of ML-assisted and HITL workflows that improve the speed, scalability, and reliability of data production
  • 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, reducing bottlenecks and improving throughput
  • Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities
What We're Looking For
  • 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
  • Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
  • Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs. Has written code in the last 2 years
  • 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
  • Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams. Start-up or growth-stage experience is strongly preferred.
  • Customer-facing, consulting, or services experience is strongly preferred

Nice to have:
  • Experience with human-in-the-loop (HITL) systems, data annotation workflows, or data-centric AI approaches.
  • Familiarity with synthetic data generation or model-assisted labeling techniques.
  • Experience building internal platforms or tooling for delivery or operations teams
Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges - creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to find a function and have a broad, lasting impact across the company.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.

About Snorkel AI

Snorkel AI is an artificial intelligence company that provides a platform for building and managing machine learning models. The company was founded in 2019 and is headquartered in San Francisco, California. Snorkel AI's platform is designed to make it easier for developers and data scientists to create and manage machine learning models, using a technique called programmatic labeling. The company's platform is used by a number of large enterprises, including Intel, Google, and Microsoft. Snorkel AI has raised over $50 million in funding to date.
Learn more about Snorkel AI
Size
50 employees
Industry
Founded
2019

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