Snorkel AI

Staff Software Engineer - EC Lifecycle

Snorkel AI$240K — $270K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software engineering experience with web application architectures
  • 2+ years in a Staff level role or equivalent
  • Strong background in developer productivity and distributed systems
  • Expertise in designing REST for internal services
  • Experience with enterprise software development, focusing on data collection or machine learning
  • Proven track record in leading complex engineering projects

Responsibilities

  • Design and develop mission-critical systems for the Expert Contributor lifecycle
  • Build robust features and integrations with third-party services
  • Automate supply and allocation logic for efficient management of ECs
  • Prototype, optimize, and maintain scalable services for data user management
  • Set strategy for build systems, testing frameworks, and CI/CD pipelines
  • Lead transition to automated continuous deployment framework
  • Mentor Senior and Mid-level engineers on best practices and project execution
  • Collaborate with cross-functional teams to enhance dev-infra and tooling

Benefits

  • Hybrid work schedule with flexibility in office attendance
  • Opportunity to influence long-term technical strategy
  • Participation in complex, multi-quarter architectural initiatives
  • Engagement with cross-functional teams and diverse projects
  • Mentorship opportunity for engineers at various levels
Full Job Description
As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models. Main Responsibilities • 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. • Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems. • 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. • Prototype, optimize, and maintain scalable services to power complex data user management pipelines. • Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines. • Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline. • Build proactively with empathy for both customers and subject matter experts using our tools. • Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams. • Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling. • Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement. Qualifications • 8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent • 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, 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. 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 Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship. Work Schedule • Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office. Salary Range $240,000-$270,000 USD

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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