3+ years of experience managing client relationships independently.
Background in top-tier banking, consulting, or early-stage startups.
Technical or research experience in software engineering, computer science, or AI/ML.
Demonstrated high agency and ability to act under ambiguity.
Fast learner with adaptability to a rapidly evolving field.
Exceptional attention to detail in client-facing roles.
Collaborative mindset with high integrity and low ego.
Responsibilities
Own client engagements from data requirement gathering to final delivery.
Serve as the main contact for lab researchers, translating needs into data specifications.
Coordinate with engineering and growth teams for seamless project execution.
Manage a network of domain experts and oversee quality assurance processes.
Identify high-value datasets by monitoring industry trends and research.
Benefits
Opportunity for growth into pod leadership as the company scales.
Work in a high-agency, high-ownership environment.
Collaborate with top AI researchers and domain experts.
Engage in a project-based work setting that fosters learning and adaptability.
Full Job Description
Location: San Francisco, CA
Work Model: Onsite, 5 days per week
Industry: Applied AI / AI research data
Compensation: $130K-$150K base, ~$300K OTE The Opportunity
As a Strategic Project Lead, you will own client engagements end to end, partnering directly with researchers at top AI labs to scope, build, and deliver high-quality datasets. You will be the connective tissue across engineering, expert-sourcing, and a network of 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 as the company scales. 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 the engineering (platform) and growth (expert sourcing) teams.
Manage a network of domain 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 background such as top-tier banking or consulting, an entrepreneurial or founder track record, an early-stage startup operator role, or a technical or research (software engineering, computer science, or AI/ML) 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.
