Invisible Technologies
Head of Frontier AI
New York - Hybrid +3 · Director · Full-time · Posted Oct 16, 2026
- Location
- New York - Hybrid
San Francisco Bay Area - Hybrid
New York, United States
San Francisco, California, United States - Experience
- 10+ years; includes 3+ years leading a team or major book of business.
About the job
Leads revenue growth for Invisible’s RL Data Lab by expanding and winning model-builder accounts while shaping customer needs into scalable AI data and evaluation offerings.
What you'll do
- Own revenue targets, account plans, pipeline, forecasting, negotiations, and senior client relationships across labs, tech companies, and enterprises.
- Partner with Product, Engineering, Delivery, and Operations to shape, price, pilot, and scale offerings including RLHF/SFT, agentic trajectories, staff augmentation, and data brokerage.
- Build and lead the account team, develop repeatable sales motions, and represent Invisible in the frontier AI community.
What they ask for
- 10+ years in enterprise sales, business development, or account leadership, including 3+ years leading a team or major book of business.
- Senior relationships at one or more foundation or frontier AI labs, plus credibility with AI leaders at large tech companies or enterprises.
- Track record closing and expanding multi-million-dollar, multi-year deals with technical buyers.
- Working fluency in frontier-model development and experience selling a services-and-technology portfolio, including cross-functional work with Product, Engineering, and Delivery.
Nice to have
- Leadership at an AI data, training, or evaluation company, or on the data side of a frontier lab; experience productizing services or working with staffing, talent marketplaces, or data licensing.
- Experience selling AI/ML platforms or services to enterprises adopting agentic AI; technical background in CS, ML, or a quantitative field.
Tools
SFT, RLHF, RL environments, evals
AI focus
Commercial leadership for AI model-training and evaluation data offerings, including RL environments, agentic trajectories, RLHF/SFT, and enterprise model-building programs.
Model-written summary · the original posting is authoritative