Strategic Project Lead at talentpluto

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

400000.0

Posted On

20 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project management, Data operations, Stakeholder management, Workflow design, Analytical skills, Problem-solving, Communication, Executive presence, Operational strategy, Data quality management

Industry

technology;Information and Internet

Description

Strategic Project Lead (SPL) Location: San Francisco (in-person) Industry: AI / Human Data / Data Operations About the Company Our partner is one of the fastest-growing companies in AI, operating at the center of the human data layer that powers frontier models. They partner with leading AI labs to build, evaluate, and scale high-quality datasets using networks of domain experts across fields like law, medicine, and engineering. With strong revenue traction and a high-growth environment, they are building the operational backbone behind real-world AI performance. The Role As a Strategic Project Lead, you will own end-to-end execution of large-scale human data projects. This includes sourcing and managing expert networks, designing and improving data workflows, ensuring quality and delivery, and working directly with AI researchers. You will operate in a fast-paced, high-intensity environment where you are accountable for outcomes, not just recommendations. This is a hands-on operator role — not strategy or product. You’ll be in the weeds solving problems, managing stakeholders, and driving projects that directly impact how frontier AI systems are trained and evaluated. Responsibilities Own delivery of human data projects from kickoff to completion Manage and scale networks of domain experts (20–1,000+ contributors) Design and optimize workflows for quality, speed, and cost Communicate directly with AI researchers and internal stakeholders Identify bottlenecks and solve operational challenges in real time Requirements 0–5 years of experience in consulting, banking, startups, or technical roles Strong analytical and problem-solving skills Clear, structured communication and executive presence Proven ability to operate under pressure and tight timelines Willingness to work in a high-intensity, in-person environment Authorized to work in the US (no sponsorship) Compensation Base: $120K–$150K Significant bonus upside (OTE $300K–$400K+) Equity participation

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Responsibilities

Own the end-to-end execution of large-scale human data projects from kickoff to completion. Manage expert networks, optimize data workflows, and collaborate directly with AI researchers to solve operational challenges.