San Francisco, CA · On-site · Full-time Compensation: $130,000–$150,000 base (up to $300K total cash comp) + competitive equity

About the Company

Our client builds the training data and evaluation infrastructure that frontier AI labs use to improve their models, working with the world's leading AI labs to design high-signal datasets and run rigorous evaluations that go beyond static benchmarks. It's one of the fastest-growing companies in its cohort and well-backed by top-tier investors.

Founded 2025 · 11–50 people · Industry: AI training data & model evaluation

The Role

A founding-level role at the intersection of technical execution and strategic leadership — owning high-impact initiatives end to end while managing technical experts and shipping production code yourself.

Tech stack: Python; data pipelines, APIs, ML/AI tooling.

What you'll be doing

• Manage teams of technical experts across software engineering, data science, and machine learning
• Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines
• Drive technical and operational initiatives end to end — scoping requirements, building solutions, and managing experts
• Interface directly with engineering and research teams at leading AI labs
• Support the founding team on high-priority technical projects

Requirements

• A CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects
• Proficiency in Python and production-quality code
• Experience with data pipelines, APIs, or ML/AI tooling
• Strong leadership and communication skills
• Able to context-switch rapidly between technical and strategic work
• An intense work ethic, agency, and drive, with a track record of exceptional achievement
• An undergraduate degree from the US, Canada, or the UK

Nice to Haves

• A background in software engineering, ML engineering, AI research, or computer science
• Experience at a top tech company (FAANG, frontier AI lab) or quantitative trading firm
• Prior startup or founding experience
• Willingness to work long hours and weekends when projects demand it

Why Join

• Direct founder access: work directly with the founding team on their highest-priority, most ambiguous problems
• Frontier-lab exposure: interface with research leads at the top AI labs; your work powers $10M+ contracts
• Upside: up to $300K total cash comp plus meaningful equity in a fast-scaling, venture-backed company

Details

• Location — San Francisco, CA
• Work policy — On-site
• Compensation — $130,000–$150,000 base (up to $300K total cash) + competitive equity
• Visa sponsorship — Not available
• Employment type — Full-time