Strategic Project Lead
Abundant - San Francisco | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
Matched to SOC 11-1021 - Operations aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Strategic Project Lead San Francisco | OnSite ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems. Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence. THE ROLE Own end-to-end execution of Abundant's most critical projects and owning the relationships internally/externally. Translate ambiguous research requirements into structured workflows, manage distributed expert teams, and deliver flawless results under tight timelines. This is a founding-level operations role with outsized ownership. WHAT YOU'LL DO - Own project delivery end-to-end - scoping, design, contributor ops, QA, and handoff to AI lab partners - Build and manage relationships with researchers at frontier labs - Recruit, scale, and run distributed teams of domain experts - sourcing, performance, quality, engagement - Partner closely with Talent Acquisition (TA) and the scale team to develop and execute sourcing and hiring strategies for distributed expert teams. - Drive project-specific research scoping - Collaborate with AI lab partners and internal researchers to define project boundaries and strategic direction. - Operationalize ambiguous research requirements - Translate frontier lab needs into structured workflows and scalable execution
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