Mercor Logo

Mercor

Strategic Projects Lead, Deeptune

Posted 2 Days Ago
Be an Early Applicant
In-Office
New York City, NY
120K-200K Annually
Junior
In-Office
New York City, NY
120K-200K Annually
Junior
Own end-to-end data delivery and operations for RL training environments: scope projects, manage distributed contributor teams, meet throughput and quality targets, partner with engineers to unblock pipelines, drive process improvements, and deliver high-pressure client requests on tight timelines.
The summary above was generated by AI
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 Deeptune

Deeptune is an RL environments lab within Mercor that builds training gyms for AI agents: high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.

About the Role

We're looking for a Strategic Projects Lead to own and scale the data operations that power frontier AI training. This is a high-ownership role for someone with strong agency, comfortable making decisions with incomplete information, and capable of building processes that hold up under pressure.

As an SPL, you will own projects end-to-end, from scoping through final delivery. You'll be responsible for managing a distributed team, forecasting timelines, meeting throughput targets, and maintaining a high bar for everything that ships. You'll face ambiguous problems and are expected to solve them in ways that scale across the org. Your work will directly shape frontier models and how they're deployed.

What You'll Do
  • Own delivery end-to-end: You're accountable for data delivery end-to-end, including deadlines, throughput, and quality

  • Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from

  • Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers.

  • Partner cross-functionally: Work closely with our engineers to scope technical requirements, flag blockers, and ship improvements to our pipeline infrastructure

  • Drive continuous improvement: Identify bottlenecks, inefficiencies, and quality gaps, and then build the solution.s

SPLs are obsessed with both quality and velocity. You'll combine analytical rigor, quantitative thinking, strong judgment, and creative problem-solving to move data efficiently through complex systems – often with imperfect information.

What We're Looking For
  • 2+ Years of 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" process optimization and large-scale execution.

About You
  • You're a self-directed operator who takes ownership without being asked.

  • You'd rather build a system than do the same task twice.

  • You're motivated by the chance to shape how frontier AI gets built.

  • You are motivated by ownership, impact, and building frontier tech.

  • Your work is a craft you want to master.

  • You thrive in ambiguity and love hard problems.

  • You appreciate diverse perspectives and uncommon ideas.

  • You are excited about building in-person, 5 days a week, from our office at One World Trade.

Key Facts
  • SPLs generate $10M+ in project revenue annually.

  • Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).

  • The role is explicitly operations-focused—not strategy, product, or GTM.

Growth Path
  • SPLs begin as individual contributors, running projects end-to-end.

  • High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.

Compensation
  • Base cash comp from $120K-$150k for SPL, and up to $200k for an SSPL

  • Bi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • $15K relocation bonus (for moving to the New York metropolitan area)

  • $10K housing bonus (if you live within 0.5 miles of our office)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry reimbursement

  • $200 monthly personal wellness reimbursement

  • Health, Dental, Vision insurance

  • 401(k) with company match

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

Similar Jobs

20 Minutes Ago
In-Office
133K-162K Annually
Mid level
133K-162K Annually
Mid level
Fintech • Information Technology • Financial Services
Design, develop, and deliver technical and AI-based solutions for Aladdin Post Trade platforms. Work with stakeholders to define requirements, build and validate ML/LLM models, deploy and monitor models in production, drive partner engagement, and support observability, performance tuning, and production incident follow-up.
Top Skills: AgileAi Coding AssistantsAlertingApi GatewaysAPIsAuthenticationAuthorizationCi/CdCloud InfrastructureColumnar StoresContainersData ModelingData ValidationDeployment AutomationDevOpsFront-End DevelopmentFull-Stack DevelopmentJavaLarge Language ModelsLoad BalancersLoggingMachine LearningMetricsModel EvaluationModel ExperimentationModel Fine-TuningModel MonitoringModel ServingNamed Entity RecognitionNatural Language ProcessingNetworkingNeural NetworksObservabilityPerformance TuningPythonRelational DatabasesSecuritySentiment AnalysisSQLTopic ModelingTracing
25 Minutes Ago
Easy Apply
Hybrid
Easy Apply
186K-265K Annually
Senior level
186K-265K Annually
Senior level
Fintech • Payments • Financial Services
Lead Adyen's global enterprise digital payments offering end-to-end: define strategic vision, package and commercialize products, drive GTM and adoption, partner with product and vertical teams, surface customer insights to prioritize roadmap, anticipate market and regulatory shifts, and enable commercial teams to grow revenue for enterprise customers.
30 Minutes Ago
Easy Apply
Hybrid
Easy Apply
93K-103K Annually
Entry level
93K-103K Annually
Entry level
Consumer Web • Information Technology • Sales • Software
Provide legal and administrative support across commercial and corporate matters, partner with commercial teams on US sales contracts, conduct legal research, support due diligence and contract execution, and implement process improvements and legal technology to increase team efficiency.
Top Skills: DocusignGoogle SuiteExcelMicrosoft Word

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account