Chief Revenue Officer, Human Data
Wing Assistant
General Manager, AI Data Labeling
Wing Assistant
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $170,000 - $250,000 per year
Job Level
Mid-LevelSenior
About the role
- Own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building for Wing's AI data labeling subsidiary
- Build the business from zero and help set up the operating engine
- Acquire new business from AI labs and tier-1 tech companies via network and outbound (digital/in-person)
- Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation)
- Attend meetings, consultations, events 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 directly to Wing’s CEO and report on progress to senior leadership; foster a culture of accountability 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: responsible for people management, budgets, interfacing with finance, legal, operations
- Strong 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
- Proven builder of multidisciplinary teams; excellent stakeholder management
- Digital native (Google Workspace, Sheets, CRM)
- Nice-to-haves: Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal)
- Nice-to-haves: Prior success taking a services P&L from $0 to $10M+ with healthy unit economics
- Nice-to-haves: Strong interest and understanding in artificial intelligence, machine learning, and LLMs
