What are the responsibilities and job description for the Chief Revenue Officer, Human Data position at Wing Assistant?
Chief Revenue Officer, Human Data
Remote, San Francisco
About Wing
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.
About the Role
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
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