Senior Software Engineer - Expert Contributor Lifecycle

Snorkel AI Snorkel AI · Data AI · Redwood City, CA +1 · 312 - Engineering

Senior Backend Engineer at Snorkel AI responsible for building and maintaining the Expert Contributor (EC) Platform, which enables domain experts to provide high-signal data for training and refining AI models. The role involves designing and developing mission-critical systems for the EC lifecycle, including onboarding, performance management, and integrations with third-party services. Focus on automating supply and allocation logic for a high volume of ECs and managing data user pipelines.

What you'd actually do

  1. Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
  2. Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
  3. Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
  4. Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
  5. Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.

Skills

Required

  • 8+ years of software engineering experience
  • 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
  • Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
  • Expertise designing REST for internal services and developers.
  • Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
  • Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
  • Ability to work in a fast-paced environment with strong technical communication skills.
  • Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.

Nice to have

  • Experience in hyper-growth startup environments or scaling engineering orgs.
  • Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
  • Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.

What the JD emphasized

  • mission-critical systems
  • high volume of ECs
  • complex data user management pipelines
  • enterprise software products

Other signals

  • AI data
  • transform expert knowledge into specialized AI
  • build custom AI with their data
  • enable domain experts to provide high-signal data for training and refining state-of-the-art models