Drimva

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

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)