Chief Revenue Officer, Human Data

divh2Chief Revenue Officer, Human Data / h2pRemote, San Francisco / ppWing is one of the worlds largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, were launching a dedicated AI data labeling annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. Were hiring a Chief Revenue Officer to run this business end-to-end. / ph3About the Role / h3pAs Chief Revenue Officer of Human Data, you will own PL, strategy, go-to-market, delivery / quality, security compliance, and team building. Youll build the business from zero, close key customers, help set up the operating engine, and report directly to Wings CEO. / ph3Responsibilities : / h3ulliAcquire new business from AI labs and tier-1 tech companies via your network, digital / in-person outbound / liliOwn enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA / SOW negotiation) / liliAttend meetings, consultations, events, etc. in person as needed and build key relationships / liliBuild durable relationships with researchers, data / infra leaders, procurement, and legal; expand accounts / liliOwn the business plan, pricing, margin targets, forecasting, and budget adherence. / liliReport on progress to senior leadership Foster a culture of accountability, transparency, and operational rigor / li / ulh3Requirements : / h3ulliPrimarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed / liliBachelors degree in any discipline, ideally from a top institution / liliOutgoing, social, gregarious personality, willingness, and capability to always be building relationships / liliGreat 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 / liliStrong preference for someone who has led Sales Commercials : Expert in complex MSAs / SOWs, pricing, and margin management Trusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals / liliExpert in complex MSAs / SOWs, pricing strategy, and margin management Proven builder of multidisciplinary teams; excellent stakeholder management Digital native (Google Workspace, Sheets, CRM) / li / ulh3Nice-to-haves : / h3ulliExperience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal) / liliPrior success taking a services PL from $0 to $10M+ with healthy unit economics / liliStrong interest and understanding in artificial intelligence, machine learning, and LLMs / li / ulp$170,000 - $250,000 a year / ppBase compensation : $170K$250K, with increases as the business grows / ppEquity : generous grant vested over 4 years / ppPerformance Bonus : Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals / ppA $1K monthly allowance for meals / ppCompany-sponsored Equinox membership / ppHealth insurance / ppNote : please ignore any interview assessment automated emails, if any. They do not apply to this role. / p / div