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General Manager, AI Data Labeling

Open 61d
General Manager, AI Data Labeling
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 General Manager to run this business end-to-end.

About the Role
As 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.

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
Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.

What this application asks

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Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn Profile URL

  • Current Monthly Salary/Compensation (USD)
  • Expected Monthly Salary/Compensation (USD)
  • Please record a 2–5 minute video or audio introducing yourself and highlighting your customer support experience. You may use WingIntro (https://www.wingintro.com/) or Loom (https://www.loom.com/) if WingIntro is unavailable. Ensure your recording is clear, completed in a quiet environment, and professionally presented. In your recording, please tell us what interested you in this role and why you want to join Wing, describe one significant improvement you made at a previous company that is relevant to this role, and share a difficult decision you had to make in a previous job, including the situation, your decision, and the outcome. Failure to submit this requirement may result in the disqualification of your application. Once completed, paste your WingIntro or Loom URL below.
  • Desired Compensation
  • Potential Start Date
  • Current Location
  • Have you held a formal Customer Support leadership role (e.g., Team Lead, Manager, Head of Customer Support))? choose one · optional
  • Share your experience taking a P&L from $0 to $1M+ ARR written answer
  • Please share any relevant experience related to Generative AI and/or Data-labeling? written answer
  • Do you have any experience working at, communicating with, or selling to frontier AI labs, or frontier AI labs at big tech companies? written answer
  • Do you have any experience working in this space, i.e. data labeling/annotation, expert data annotation, or virtual RL environments? written answer
  • Do you have any experience & exposure to enterprise sales? written answer
  • Where are you physically located, and if you are outside the San Francisco Bay Area, are you willing to travel as needed?
  • What is your expected compensation?
  • Did you attend university? If so, which university did you attend and what did you study? written answer
  • Lastly, what's your motivation for applying / leaving your current role? written answer

See also

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