[Hiring] Strategic Project Lead @Anyone AI

Role Description

You own the relationship with one or more lab partners and everything we deliver into them. You are the senior point of contact who keeps the account healthy, scopes the next engagement before the current one finishes, and turns a single pilot into a growing book of production work. You sit between origination and execution: the Human Data Evals Lead sets what we sell and to what standard, your Human Data Managers make projects ship, and you make the account expand. On a small team, you carry the commercial weight of the relationship.

Responsibilities

• Account ownership: Be the senior, trusted point of contact for lab partners on Slack and calls. Understand what they actually need next, and position our work to win it.
• Scoping & expansion: Turn requests and pilots into scoped engagements and SOWs; convert pilots into production and grow the account engagement over engagement.
• Delivery oversight: Own outcomes across the account’s projects, working through the Human Data Managers who run them. Accountable for the account’s quality reputation, not the line-by-line execution.
• Commercial sense: Manage scope, pricing inputs, and margin at the account level; know when to pull in the CEO on pricing and the subject-matter experts on substance.
• Strategic read: Track where each lab is heading, surface the next opportunity, and feed origination signal back to the Human Data Evals Lead.

Experience

• Owned a client or partner relationship and grew it — turned an initial engagement into expanding, repeat work.
• Operated in a customer-facing technical role (delivery lead, TAM, forward-deployed, or account/engagement management) where you scoped work and carried commercial responsibility.
• Worked with or sold to AI labs, ML teams, or technical enterprise buyers, and held your own in a senior technical conversation.

Qualifications

• 5+ years in account management, engagement management, technical delivery leadership, or partnerships, with recent exposure to AI/ML data, model evaluation, or benchmarking.
• Fluent in how frontier data and evaluation work is bought and judged — enough to scope it credibly and defend quality to a sophisticated buyer.
• Track record of growing accounts and converting pilots to production.
• Strong commercial instincts and comfort with ambiguity in an early, fast-moving environment.
• Fluent English. Spanish is a nice to have.