Snorkel AI

Staff Software Engineer - Expert Contributor Lifecycle

Snorkel AI$240K — $290K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software engineering with a focus on scalable web architectures
  • 2+ years experience at a Staff level or equivalent
  • Strong expertise in developer productivity and distributed systems
  • Proficient in designing REST APIs for internal services
  • Experience in enterprise software focused on data collection or machine learning
  • Proven ability to lead complex engineering projects and influence stakeholders

Responsibilities

  • Design and develop critical systems for the Expert Contributor lifecycle
  • Build features and integrations with third-party assessment and employment platforms
  • Automate management of a high volume of Expert Contributors
  • Prototype and optimize scalable services for user management pipelines
  • Set architecture and strategy for build systems and CI/CD pipelines
  • Lead the shift to automated continuous deployment frameworks
  • Mentor and guide less experienced engineers on technical design
  • Collaborate with cross-functional teams to enhance development infrastructure

Benefits

  • Hybrid work model with flexibility to work from the Redwood City HQ or SF office
  • Opportunity to influence the long-term technical direction of the EC Platform
  • Chance to mentor and lead engineers in a collaborative environment
  • Exposure to cutting-edge technologies in AI and machine learning
  • Potential to contribute to high-impact architectural initiatives
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.


Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$240,000-$290,000 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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