San Francisco, CA · On-site · Full-time
Compensation: $130,000–$150,000 base (up to $300K total cash comp) + equity
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models — designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.
Founded 2025 · 11–50 people · Industry: AI training data & model evaluation infrastructure
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end — from requirements through delivery — managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.
What you'll be doing
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Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.
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Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.
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Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.
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Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.
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Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.
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Support the founding team on the highest-impact work — internal tooling, major contracts, and hiring.
Tech stack: Python; data pipelines, APIs, ML/AI tooling
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CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects
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Manage teams of technical experts across software engineering, data science, and machine learning
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Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines
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Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts
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Interface directly with engineering and research teams at leading AI labs
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Support founding team on high-priority technical projects and operational initiatives
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Proficiency in Python and production-quality code
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Experience with data pipelines, APIs, or ML/AI tooling
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Strong leadership experience and communication skills
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Ability to context-switch rapidly between technical and strategic work
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Intense work ethic, agency, and drive
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Competitive nature and track record of exceptional achievement
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Undergraduate degree from the U.S., Canada, or the U.K.
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Background in software engineering, ML engineering, AI research, or computer science
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Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm
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Prior startup experience or founding experience
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Willingness to work long hours and weekends when projects demand it
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Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.
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Struggles with ambiguity or lacks examples of owning large, complex projects.
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Only interested in remote work — role is strictly in-person.
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Can't articulate why they want to pivot into AI ops or join a startup now.
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No experience managing teams or unclear on motivating people toward execution.
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Direct access to the founding team on their highest-priority problems
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Exposure to leading frontier AI labs; work that powers major contracts
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Up to $300K total cash comp plus meaningful equity in a fast-scaling company
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Location: San Francisco, CA
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Work policy: On-site — strictly in-person
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Compensation: $130,000–$150,000 base (up to $300K total cash comp) + equity
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Visa sponsorship: None available
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Employment type: Full-time
