General Manager, AI Data Labeling

General Manager, AI Data LabelingRemote, San FranciscoAbout WingWing 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 General Manager to run this business end-to-end.About the RoleAs General Manager, AI Data Labeling, 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.ResponsibilitiesAcquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outboundOwn enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation)Attend meetings, consultations, events, etc. in person as needed and build key relationshipsBuild durable relationships with researchers, data/infra leaders, procurement, and legal; expand accountsOwn the business plan, pricing, margin targets, forecasting, and budget adherenceReport on progress to senior leadership; foster a culture of accountability, transparency, and operational rigorRequirementsPrimarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as neededBachelor's degree in any discipline, ideally from a top institutionOutgoing, social, gregarious personality, willingness, and capability to always be building relationshipsGreat 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 moreStrong 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 dealsExpert in complex MSAs/SOWs, pricing strategy, and margin managementProven builder of multidisciplinary teams; excellent stakeholder managementDigital native (Google Workspace, Sheets, CRM)Nice-to-havesExperience 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 economicsStrong interest and understanding in artificial intelligence, machine learning, and LLMsNote: compensation details and benefits are listed below.$170,000 - $250,000 a yearBenefits & CompensationBase compensation: $170K–$250K, with increases as the business growsEquity: generous grant vested over 4 yearsPerformance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise dealsA $1K monthly allowance for mealsCompany-sponsored Equinox membershipHealth insuranceNote: please ignore any interview assessment automated emails, if any. They do not apply to this role. #J-18808-Ljbffr

Created: 2025-09-18