Chief Revenue Officer, Human Data

About the position Wing is one of the world's largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, we’re launching a dedicated AI data labeling & annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. We’re hiring a Chief Revenue Officer to run this business end-to-end. As Chief Revenue Officer of Human Data, you will own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building. You’ll build the business from zero, close key customers, help set up the operating engine, and report directly to Wing’s CEO. Responsibilities • Acquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outbound • Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation) • Attend meetings, consultations, events, etc. in person as needed and build key relationships • Build durable relationships with researchers, data/infra leaders, procurement, and legal; expand accounts • Own the business plan, pricing, margin targets, forecasting, and budget adherence. • Report on progress to senior leadershipFoster a culture of accountability, transparency, and operational rigor Requirements • Primarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed • Bachelor's degree in any discipline, ideally from a top institution • Outgoing, social, gregarious personality, willingness, and capability to always be building relationships • Great management skills: you will, to an extent, be responsible for a giant piece of an entire business unit and all that comes with it, people management, budgets, interfacing with finance, legal, operations, and more • Strong preference for someone who has led Sales & Commercials: Expert in complex MSAs/SOWs, pricing, and margin managementTrusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals • Expert in complex MSAs/SOWs, pricing strategy, and margin managementProven builder of multidisciplinary teams; excellent stakeholder managementDigital native (Google Workspace, Sheets, CRM) Nice-to-haves • Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal) • Prior success taking a services P&L from $0 to $10M+ with healthy unit economics • Strong interest and understanding in artificial intelligence, machine learning, and LLMs Benefits • Base compensation: $170K–$250K, with increases as the business grows • Equity: generous grant vested over 4 years • Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals • A $1K monthly allowance for meals • Company-sponsored Equinox membership • Health insurance