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Strategic Project Lead

Halluminate· Operations
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San Francisco$220k - $280k + equityFull-timePosted 2mo ago

About the role

Role leading the development of frontier training gyms for finance verticals, owning end-to-end delivery, data and environments, and team coordination to support revenue growth in a San Francisco-based AI/ML-focused startup.

Responsibilities

  • Define and prioritize the training-gym roadmap based on real-world finance experience.
  • Build end-to-end systems and processes from scratch to support $MMs in revenue this year.
  • Own delivery and quality criteria for data and environments shipped to customers.
  • Recruit and train our contractor finance staff.
  • Create training materials for AI systems (modeling exercises, pitch decks, etc.).
  • Partner with frontier engineering and research teams to implement and deliver gyms.

Qualifications

  • Experience teaching and giving feedback on modeling, decks, or client deliverables.
  • A track record of owning end-to-end deliverables for live deals.
  • Experience leading large teams and owning deadlines for big projects.
  • An ability to learn deeply technical concepts in ML, AI, data, and engineering.
  • Comfort using coding tools (Cursor, Claude Code) to build platforms and speed up processes.

Skills

Required:Training gym product managementEnd-to-end project deliveryTeam leadership

Benefits

  • Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
  • Relocation — $10k+ relocation stipend to help you get to San Francisco.
  • 401(k) — Up to 4% employer match.
  • Food — Free breakfast, lunch, and dinner while working.
  • Health — Free gym membership.
  • Transportation — Free Ubers and Waymo rides to and from the office.
  • Visa sponsorship — We sponsor visas, including H-1B.
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Halluminate

Data and RL environments to automate knowledge work

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.

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