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About the Role
Own client engagements end to end, partnering directly with researchers at top AI labs to scope, build, and deliver high-quality code-generation datasets. Serve as the connective tissue across platform engineering, expert sourcing, and technical domain experts, while keeping a pulse on the frontier to proactively shape what gets built next. This is a high-agency, high-ownership role on a small, ambitious team, with a clear path to growing into pod leadership.
Responsibilities
- Own client engagements end to end, from understanding data requirements to final delivery.
- Serve as the primary point of contact for lab researchers, translating their needs into clear data specifications.
- Coordinate cross-functionally with platform engineering and the growth (expert sourcing) team.
- Manage a network of technical experts producing the data, and run quality assurance and quality checks.
- Proactively identify high-value datasets by tracking industry news and research.
Requirements
- 3+ years of experience, with the ability to own client relationships independently end to end.
- A technical background (software engineering or computer science), given the code-generation focus of this track.
- Alternatively, a strong entrepreneurial or founder track record, top-tier banking or consulting experience, or an early-stage startup operator background.
- High agency and a strong bias to action under ambiguity.
- Fast learner who can keep pace with a rapidly evolving field.
- Strong work ethic and stamina for a demanding, project-based environment.
- Exceptional attention to detail in client-facing work.
- High integrity and a collaborative, low-ego approach.
- Able to work onsite in San Francisco five days per week.
Location
- San Francisco, CA
Work Type
- Onsite
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- $130K-$150K base
- ~$300K OTE (profit share)
About the Company
- Our partner is a fast-growing applied AI research lab that produces expert-level training data for the world's leading AI labs.
- In under two years they have scaled to a nine-figure revenue run rate, backed by leading venture investors and prominent angels from across the AI field.
- Quality is their core differentiator, and they are rapidly expanding into new domains.