Staff Software Engineer - Expert Contributor Lifecycle

Snorkel AI•Redwood City, CA

1d•Hybrid

About The Position

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.

Requirements

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 Haves

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.

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.