Head of Frontier AI

Invisible Technologies • New York, NY

1d • Hybrid

About The Position

The Head of Frontier AI leads revenue growth from model builders across foundation and frontier AI labs, large technology companies, and enterprises. This commercial leadership role owns client relationships end to end, including account expansion, new-client acquisition, and the development of additional revenue lines. The role also acts as the customer voice inside Invisible, partnering with Product and Engineering to turn customer needs into scalable offerings.

The position oversees revenue from established services such as RLHF and SFT, as well as newer offerings including RL environments and agentic trajectories, staff augmentation, and data brokerage. The role is responsible for building account plans, winning new programs, negotiating commercial terms, and growing relationships with technical and business stakeholders. Enterprise accounts are managed in partnership with Enterprise GTM.

The Head of Frontier AI also shapes product packaging and pricing, pilots new offerings with early adopters, and works with Delivery and Operations to ensure offerings can be delivered at the expected quality and margin. As the business scales, this leader builds a team of account executives and engagement leads and represents Invisible in the frontier AI community.

Requirements

• 10+ years in enterprise sales, business development, or account leadership.
• At least 3 years leading a team or a major book of business.
• Existing senior relationships at one or more foundation or frontier AI labs, plus credibility with AI leaders at large technology companies or enterprises.
• A track record of closing and expanding multi-million-dollar, multi-year deals with technical buyers.
• Working fluency in frontier model development, including pretraining, SFT, RLHF, RL environments, evaluations, and agentic systems.
• Experience selling a portfolio that blends services and technology, with commercial instincts in pricing, packaging, and margin.
• Proven ability to work cross-functionally with Product, Engineering, and Delivery to shape what gets built.

Nice To Haves

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

Responsibilities

• Own model-builder revenue across labs, technology companies, and enterprises, including bookings, net revenue retention, and new-logo targets.
• Build and manage account plans for key accounts, including whitespace mapping across all four offerings.
• Source, scope, price, and close new programs; lead negotiations on MSAs, SOWs, and commercial terms.
• Forecast accurately and maintain a disciplined pipeline.
• Serve as the senior relationship owner with research leads, post-training and AI platform teams, data leads, and procurement stakeholders.
• Build multi-threaded relationships in every account so relationships do not depend on a single champion.
• Run executive business reviews and use delivery results to drive account expansion.
• Escalate and resolve delivery issues before they put renewals at risk.
• Bring structured customer insight to Product and Engineering, including insight into training plans, data bottlenecks, and willingness to pay.
• Co-define packaging and pricing for productized offerings, shifting revenue from bespoke services toward repeatable, higher-margin products.
• Pilot staff augmentation, data brokerage, and agentic trajectory revenue lines with early adopters and turn pilots into standard offerings.
• Partner with Delivery and Operations to ensure sold offerings can be delivered at quality and margin.
• Build and lead a team of account executives and engagement leads as the business scales.
• Represent Invisible in the frontier AI community through conferences, research relationships, and thought leadership.
• Track competitors and market pricing and contribute insights to positioning and strategy.

Benefits

• Bonuses and equity are included in all full-time offers.
• Compensation is adjusted by geographic pay tier and, for candidates outside the U.S., local market conditions and cost of living.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed