This listing pays about $220,000 a year. Across 61 open general manager listings that state pay, the middle half runs $79,500 to $175,000 and the median is $107,500. That is 105% above the median, above the middle half of those listings.

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How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Location: San Francisco (Marketplace seat); San Francisco or New York City (Data Operations seat)

Work Model: Onsite, in-person

Industry: AI / human data infrastructure

Compensation: $205,000-$235,000 base, plus equity

About the Company

Our partner is a venture-backed AI data company whose product is the data itself: high-quality human and audio data used by leading AI research teams. The business has grown more than 3x since its Series B, the team has tripled to roughly 75 people in about five months, and a new San Francisco office recently opened. The operating culture is startup-fast and output-focused, with leaders expected to stay close to the work rather than manage from a distance.

The Opportunity

Our partner is hiring two General Managers, each owning a business area end to end: its P&L, the team of deployment and project operators inside it, and a product partnership that unblocks the whole team rather than one workstream. These are leadership seats, but at this stage they are hands-on ones, and the strongest candidates will still be comfortable doing operator-level work when the business needs it.

The two seats differ in background. The Marketplace GM, based in San Francisco, brings senior operations leadership from a large two-sided marketplace. The Data Operations GM, based in San Francisco or New York, has already run this kind of operation at scale in human data or AI data and can step in with little ramp. Both report to the Head of Operations, lead teams of roughly two to five people today, and sit at the top of our partner's hiring priorities this quarter.

Responsibilities

Own the P&L for your business area, including its performance, margin, and growth

Lead, coach, and grow a team of deployment and project operators

Stay hands-on with operator-level execution alongside the team where the work demands it

Partner with the product team at a program level to remove blockers for the entire area, not individual tasks

Build and improve the systems, processes, and quality bar the business runs on

Communicate performance, tradeoffs, and priorities clearly to leadership and to cross-functional partners

Requirements

5-10 years of relevant experience, with the strongest fit in the six-to-ten-year range

Direct people-management experience, including leading a team through delivery and performance

Demonstrated ownership of a P&L, business line, or equivalent commercial accountability

Marketplace seat: senior operations leadership (senior manager or equivalent) at a large consumer or logistics marketplace

Data Operations seat: prior GM-level or equivalent leadership of a human data, AI data, or voice AI operation at scale

Exceptional written and verbal communication, with the executive presence to represent the business to leadership

Willingness to work onsite in San Francisco, or in New York City for the Data Operations seat