Head of Frontier AI

Location: Hybrid in New York or the San Francisco Bay Area, United States

Company

hirify.global provides an end-to-end AI platform for structuring data, automating workflows, deploying agentic solutions, measuring outcomes, and integrating human expertise.

What you will do

• Own revenue growth, bookings, retention, pipeline, and new-logo targets across foundation labs, large technology companies, and enterprises.
• Expand strategic accounts, build multi-threaded relationships, run executive reviews, and lead negotiations for MSAs, SOWs, and commercial terms.
• Sell RL environments, agentic trajectories, RLHF/SFT data, staff augmentation, and licensed datasets.
• Partner with Product, Engineering, Delivery, and Operations to turn customer needs into scalable, productized offerings.
• Pilot new revenue lines and shift the business from bespoke services toward recurring, higher-margin products.
• Build and lead a team of account executives and engagement leads while representing Invisible in the frontier AI community.

Requirements

• 10+ years in enterprise sales, business development, or account leadership, including 3+ years leading a team or major book of business.
• Senior relationships with foundation or frontier AI labs and credibility with AI leaders at large technology companies or enterprises.
• Track record of closing and expanding multi-million-dollar, multi-year deals with technical buyers.
• Working fluency in pretraining, SFT, RLHF, RL environments, evaluations, and agentic systems.
• Experience selling a portfolio combining services and technology, including pricing, packaging, and margin management.
• Ability to work cross-functionally with Product, Engineering, and Delivery to shape scalable offerings.

Nice to have

• Leadership experience at an AI data, training, or evaluation company, or on the data side of a frontier lab.
• Experience productizing a services business or selling AI/ML platforms to enterprises adopting agentic AI.
• Exposure to staffing, talent marketplaces, or data licensing models.
• Technical background in computer science, machine learning, or a quantitative field.

Culture & Benefits

• Ownership-driven environment focused on advanced AI and human expertise.
• Fast-paced work with significant ambiguity, commercial responsibility, and product-building scope.
• Full-time offers include bonuses and equity.
• Compensation is adjusted by geographic pay tier, experience, skills, internal equity, and market conditions.
• Hybrid collaboration is tied to specific locations, with offices and team members located around the world.

Hiring process

• The Talent Acquisition Partner confirms the applicable geographic compensation tier during the interview process.
• AI tools may be used to support interview operations and candidate evaluation.