Job Details

Role: Data Tooling Engineer
Location: San Francisco, CA (on-site, 5 days/week)
Compensation: $135k - $170k + 0.1%-0.17% equity
Stage: Seed/early-stage, well-funded ($17.5M+)
Industry: AI / Developer Tools
Team size: ~11 employees
Founded: 2024About the Company

An early-stage startup is tackling one of the biggest bottlenecks in AI development: the lack of high-quality post-training data for coding LLMs. They are building a gamified coding platform that attracts skilled engineers to generate abundant, high-quality training data.

The mission is to enable the next generation of autonomous coding LLMs-pushing beyond productivity tools into systems that empower anyone to design and build production-ready software. The company is backed by top investors, well-known AI leaders, and notable founders.
About the Role

As a Data Tooling Engineer, you will focus on developer experience and own projects across the full technical lifecycle of data pipelines-from designing schemas and formats to building tooling, SDKs, and documentation for contributors. This is a high-ownership role with immediate impact on both engineering workflows and model quality.
Responsibilities

• Own projects end-to-end: prototype, ship, maintain, and iterate based on developer feedback
• Build tooling for new data formats, productionize workflows, and create contributor sandboxes/SDKs
• Define schemas, metadata, and standards for data pipelines in collaboration with research partners
• Champion developer experience with clear documentation and streamlined workflows
• Establish and enforce data quality standards (automated checks, eval harnesses, reviewer workflows)
• Monitor and debug systems to improve reliability, latency, and contributor success rates

• 0-3 years of engineering experience, ideally in environments with large or complex repositories
• High-agency, pragmatic, and resourceful-comfortable leveraging AI tools in development
• Experience with open-source contributions or strong developer tooling exposure a plus
• Thrives in fast-moving, hackathon-like startup environments

• On-site in San Francisco, 5 days/week
• Intense, collaborative, "builder" culture-described as a long hackathon with friends
• Backed by tier-one investors and prominent AI researchers/founders