Strategic Project Lead
Technologies
Slack
About Mercor
Marketplace matching domain experts (doctors, lawyers, scientists, engineers) with AI labs to generate post-training data, evaluations, and reinforcement learning signal.
Series C
Job description
The full responsibilities and requirements are on the employer’s site.
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Production engineering · Evidence for this classification:
Operational Excellence Design and manage end-to-end data pipelines, from customer specifications to final delivery. Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency. Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes. Customer Relationships Act as the primary point of contact for leading AI labs. Deliver clear, consistent reporting and proactively anticipate client needs. Build long-term trust and identify opportunities for expansion. Large-Scale Coordination Manage 1,000+ distributed contributors in Slack-based workspaces. Source, vet, train, and performance-manage domain experts. Maintain high execution standards across all stages of production. Quality Reporting Run daily internal syncs (“war rooms”) to stay ahead of issues.
More from the job description
About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role Silicon Valley’s leading AI companies partner with Mercor to scale high-quality data operations. As an SPL, you will: Drive the tactical execution of multi-million-dollar projects. Build deep client relationships with researchers at top AI labs. Orchestrate the work of 1,000+ contributors. Ensure flawless operational execution under demanding timelines. This is a hands-on [... source excerpt omitted ...] ionally being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that. Core Responsibilities Operational Excellence Design and manage end-to-end data pipelines, from customer specifications to final delivery. Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency. Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes. Customer Relationships Act as the primary point of contact for leading AI labs. Deliver clear, consistent reporting and proac [... source excerpt omitted ...] nage 1,000+ distributed contributors in Slack-based workspaces. Source, vet, train, and performance-manage domain experts. Maintain high execution standards across all stages of production. Quality Reporting Run daily internal syncs (“war rooms”) to stay ahead of issues. Provide regular, transparent progress updates to customers. What We’re Looking For Experience: Background in consulting, finance, startups, or other operationally intense environments. Skills: Strong analytical and communication abilities; proven track record of managing complex projects. Customer-Facing Experience: Comfortable working directly with high-profile clients. Mindset: Excited by “gritty” proce
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