Medium
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 leadership Foster 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 management Trusted 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 management 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)
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
Benefits & Compensation $170,000 - $250,000 a year
Base compensation: $170K–$250K, with increases as the business grows
Equity: generous grant vested over 4 years
Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals
A $1K monthly allowance for meals
Company-sponsored Equinox membership
Health insurance
Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.
#J-18808-Ljbffr
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 leadership Foster 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 management Trusted 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 management 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)
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
Benefits & Compensation $170,000 - $250,000 a year
Base compensation: $170K–$250K, with increases as the business grows
Equity: generous grant vested over 4 years
Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals
A $1K monthly allowance for meals
Company-sponsored Equinox membership
Health insurance
Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.
#J-18808-Ljbffr