Strategic Projects Lead - Coding
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-17
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
San Francisco, CA On-site Full-time
Compensation: $,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 people Industry: AI training data & model evaluation infrastructure
The RoleA 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
- Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.
- Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.
- Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.
- Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.
- Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.
- Support the founding team on the highest-impact work - internal tooling, major contracts, and hiring.
Tech stack: Python; data pipelines, APIs, ML/AI tooling
Requirements- CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects
- 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 technical experts
- Interface directly with engineering and research teams at leading AI labs
- Support founding team on high-priority technical projects and operational initiatives
- Proficiency in Python and production-quality code
- Experience with data pipelines, APIs, or ML/AI tooling
- Strong leadership experience and communication skills
- Ability to context-switch rapidly between technical and strategic work
- Intense work ethic, agency, and drive
- Competitive nature and track record of exceptional achievement
- Undergraduate degree from the U.S., Canada, or the U.K.
- Background in software engineering, ML engineering, AI research, or computer science
- Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm
- Prior startup experience or founding experience
- Willingness to work long hours and weekends when projects demand it
- Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.
- Struggles with ambiguity or lacks examples of owning large, complex projects.
- Only interested in remote work - role is strictly in-person.
- Can't articulate why they want to pivot into AI ops or join a startup now.
- No experience managing teams or unclear on motivating people toward execution.
- Direct access to the founding team on their highest-priority problems
- Exposure to leading frontier AI labs; work that powers major contracts
- Up to $300K total cash comp plus meaningful equity in a fast-scaling company
- Location: San Francisco, CA
- Work policy: On-site - strictly in-person
- Compensation: $,000 base (up to $300K total cash comp) + equity
- Visa sponsorship: None available
- Employment type: Full-time
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