Head of Frontier AI

About Invisible:

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About the RL Data Lab:

Invisible's RL Data Lab builds the data and evaluation infrastructure that model builders use to train and measure their models, from foundation labs to large tech companies to enterprises building their own agentic systems. The Head of Frontier AI owns that transition across every customer that builds or adapts models: foundation labs today, and a growing set of tech companies and enterprises over time.

The Role:

You will own revenue growth from model builders, across foundation labs, large tech companies, and enterprises: expanding existing accounts, opening new ones, and adding new types of revenue on top of the services we sell today. This is a commercial leadership role with a product mandate. You will run these client relationships end to end, and you will be the voice of the customer inside Invisible, working with Product and Engineering to turn what labs need into offerings we can sell at scale.

Your mandate has three parts:

• Grow existing clients by expanding scope, deepening multi-threaded relationships, and moving accounts from one-off projects to recurring programs.
• Win new clients across foundation labs, emerging frontier labs, large tech companies building genAI products, and enterprises training or fine-tuning models for agentic solutions.
• Build new revenue lines by bringing newer offerings (staff aug, data brokerage, agentic trajectories) to market alongside our core RLHF and SFT work.

Responsibilities:

• Own the model-builder revenue number across labs, tech companies, and enterprises: bookings, net revenue retention, and new-logo targets.
• Build and run the account plan for each key account, 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 run a disciplined pipeline that leadership can plan against.
• Be the senior relationship owner with research leads, post-training and AI platform teams, data leads, and procurement at each account.
• Multi-thread every account so relationships do not depend on a single champion.
• Run executive business reviews and turn delivery results into expansion.
• Escalate and resolve delivery issues before they put renewals at risk.
• Bring structured customer insight to Product and Engineering: what each segment is training on next, where data bottlenecks are, and what they will pay for.
• Co-define packaging and pricing for productized offerings, moving revenue from bespoke services toward repeatable, higher-margin products.
• Pilot new revenue lines (staff aug, data brokerage, agentic trajectories) with early-adopter clients and turn pilots into standard offerings.
• Partner with Delivery and Operations to make sure what is sold 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 feed that into positioning and strategy.

What Success Looks Like:

First 90 days

• Meet the senior stakeholders at every active key account and have a written account plan for each.
• Own the model-builder pipeline and forecast across all three segments, with a clear view of expansion and new-logo targets.
• Close or advance at least one deal in a new revenue line (staff aug, data brokerage, or agentic trajectories).
• Agree with Product and Engineering on the top customer-driven priorities for the next two quarters.

First year

• Hit the model-builder revenue target, with growth from both existing and new accounts.
• Measurably shift revenue mix toward productized, recurring offerings.
• Land new logos in each segment, including first enterprise model-building programs, and multi-thread every top account.
• Have a hired, ramped team running a repeatable sales motion.

Qualifications:

Required

• 10+ years in enterprise sales, business development, or account leadership, including 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 tech companies or enterprises.
• A track record of closing and expanding multi-million-dollar, multi-year deals with technical buyers.
• Working fluency in how frontier models are built: pretraining, SFT, RLHF, RL environments, evals, and agentic systems.
• Experience selling a portfolio that blends services and technology, with strong commercial instincts on pricing, packaging, and margin.
• Proven ability to work cross-functionally with Product, Engineering, and Delivery to shape what gets built.

Preferred

• Prior leadership at an AI data, training, or evaluation company, or on the data side of a frontier lab.
• Experience taking a services business toward productized or platform revenue.
• Exposure to staffing, talent marketplaces, or data licensing models.
• Experience selling AI/ML platforms or services into enterprises adopting agentic AI.
• Technical background (CS, ML, or a quantitative field).

Who You Are:

• Credible with researchers and enterprise buyers alike. You can hold a credible conversation about reward models, eval design, and agent trajectories, not just commercial terms.
• A builder, not just a closer. You see a recurring customer need and push to turn it into a product.
• Comfortable with ambiguity. New offerings will be half-formed when you start selling them; you help shape them.
• Operationally rigorous. Clean pipeline, honest forecasts, clear account plans.
• Low ego, high ownership. You lead from the front on deals and give credit to the teams who deliver.

What's In It For You:

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. You can find more information about our geographic pay tiers here. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.