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Wing Assistant

Wing Assistant

via ZipRecruiter

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Chief Revenue Officer, Human Data

Anywhere
full-time
Posted 10/16/2025
Verified Source
Key Skills:
P&L Management
Enterprise Sales
Strategic Planning
Team Building
MSA/SOW Negotiation
Pricing Strategy
Margin Management
Stakeholder Management
Digital Tools (Google Workspace, CRM)

Compensation

Salary Range

$170K - 250K a year

Responsibilities

Lead the Human Data business end-to-end including P&L, sales, strategy, team building, and reporting to CEO.

Requirements

Senior sales and commercial leadership experience with complex contract negotiation, strong network in AI or tech, people management, and willingness to be based in San Francisco with travel.

Full Description

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 Benefits & Compensation: - 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This job posting was last updated on 10/19/2025

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