Strategic AI Training Gym Lead (Finance)

Halluminates

San Francisco (CA)

On-site

USD 220,000 - 280,000

Full time

13 days ago

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Benefits offered by this job

Healthcare
Relocation stipend
401(k) match
Free meals
Gym membership
Rides to office
Visa sponsorship

Job summary

Halluminate is seeking a leader to own and drive frontier training gyms for finance verticals in San Francisco. You will shape the roadmap, build end-to-end systems, and ensure delivery quality for customer environments, while recruiting and training our contractor finance staff.

Ideal candidates have experience teaching, delivering live deals end-to-end, and leading large teams. You will learn deeply technical ML/AI concepts and use Cursor/Claude Code to speed platform builds.

Qualifications

  • Experience teaching and providing feedback on modeling, decks, or client deliverables.
  • Track record delivering end-to-end deliverables for live deals.
  • Experience leading large teams and meeting deadlines on major projects.
  • Ability to learn deeply technical ML/AI concepts.
  • Comfort using Cursor and Claude Code to build platforms.

Responsibilities

  • Define and prioritize the training-gym roadmap based on real-world finance experience.
  • Build end-to-end systems and processes supporting $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.

Skills

Teaching experience
End-to-end ownership
Team leadership
ML/AI concepts
Coding tools use

Tools

Cursor
Claude Code

Job description

Halluminate is seeking a leader to own and drive frontier training gyms for finance verticals in San Francisco. You will shape the roadmap, build end-to-end systems, and ensure delivery quality for customer environments, while recruiting and training our contractor finance staff.

Ideal candidates have experience teaching, delivering live deals end-to-end, and leading large teams. You will learn deeply technical ML/AI concepts and use Cursor/Claude Code to speed platform builds.

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