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Invisible Technologies is seeking a Head of Frontier AI to lead commercial growth from model builders across foundation labs, large tech companies, and enterprises. This is a VP-level commercial leadership role with a product mandate, reporting to senior leadership.
You will own end-to-end revenue growth and client relationships across three customer segments: foundation and frontier AI labs (training frontier models), large tech companies (building genAI products and in-house models), and enterprises (moving from buying AI to building or fine-tuning models for agentic workflows).
Your mandate spans three core areas:
1. **Grow existing clients** by expanding scope, deepening multi-threaded relationships, and moving accounts from one-off projects to recurring programs.
2. **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.
3. **Build new revenue lines** by bringing newer offerings (staff augmentation, data brokerage, agentic trajectories) to market alongside core RLHF and SFT work.
You will sell a portfolio spanning established services and newer, productized lines: RL environments and long-horizon agentic trajectories (growth line), RLHF/SFT (core revenue), staff augmentation (new business unit), and data brokerage (new revenue line).
**Key Responsibilities:**
- Own model-builder revenue targets across bookings, net revenue retention, and new-logo acquisition
- Build and run account plans 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
- Be the senior relationship owner with research leads, post-training teams, data leads, and procurement at each account
- Multi-thread every account to reduce single-champion dependency
- Run executive business reviews and turn delivery results into expansion
- Escalate and resolve delivery issues before they impact renewals
- Bring structured customer insight to Product and Engineering on what each segment is training on, data bottlenecks, and willingness to pay
- Co-define packaging and pricing for productized offerings, moving revenue from bespoke services toward repeatable, higher-margin products
- Pilot new revenue lines with early-adopter clients 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, feeding insights into positioning and strategy
**First 90 Days Success Metrics:**
- Meet senior stakeholders at every active key account with written account plans for each
- Own model-builder pipeline and forecast across all three segments with clear expansion and new-logo targets
- Close or advance at least one deal in a new revenue line
- Agree with Product and Engineering on top customer-driven priorities for next two quarters
**First Year Success Metrics:**
- Hit 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
**Requirements:**
*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
- 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; can hold credible conversations about reward models, eval design, and agent trajectories, not just commercial terms
- A builder, not just a closer; you see recurring customer needs and push to turn them into products
- Comfortable with ambiguity; new offerings will be half-formed when you start selling them; you help shape them
- Operationally rigorous with clean pipeline, honest forecasts, and clear account plans
- Low ego, high ownership; you lead from the front on deals and give credit to teams who deliver
