What You'll Own
Quality control on task creation for Frontier AI Lab data projects
Train other team members on task creation and quality standards
Brainstorm product ideas to distribute products into the real world and to source proprietary data
Negotiate partnerships with enterprises to access their data
Carry $20-30M of personal ARR ownership across customer projects
Requirements
Must-Have
2+ years of investment banking or private equity experience at a reputable bank or PE firm. Absolutely no MBB. Non-negotiable.
Proficient in Excel modeling with hands-on experience building LBOs and comparable financial models on real transactions
Willing to keep modeling skill set sharp (the role involves building RLM training data from financial models, not real-world deals)
High grit and creative problem-solving. The take-home is unstructured and tests initial assumptions and a first-instinct approach.
5 days a week either in person at the Palo Alto/Menlo Park office or remote. Willingness to work weekends (optional, but the team is in the office).
Nice-to-Have
Strong school + strong bank/firm combination (top investment banks or top PE firms)
Boutique PE firm experience with demonstrated impact
Prior exposure to AI, data, or RLM space
Willingness to grind to maximize uncapped commission