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Technical Product Manager (AI Agents Startup)

ScrumAID

New York, NY · Posted October 31, 2026

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More in New York job market · All Technical Product Manager jobs (118) · Technology & Software · Product jobs

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Where New York, NY placed in our monthly rankings, month by month. Each month stays online at its own address.

November 2026

Pay compared with the market

This listing does not state pay. Across 36 open technical product manager listings that state pay, the middle half runs $155,500 to $196,500 and the median is $166,500.

Listed pay is what employers advertise, not what people are paid.

Technical Product Manager salaries by state · Check your own pay

How AI is used in this kind of work

Among sales representatives, wholesale and manufacturing, technical and scientific products, AI is already used for some of the tasks. Measured exposure for sales representatives, wholesale and manufacturing, technical and scientific products: 27% (some).

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

Our client is a quickly growing AI company that builds autonomous software agents for professional-services work. It is hiring technical product managers to be fully accountable for major product lines, including markets it has not entered yet. There is no inherited plan; you would draft the roadmap yourself.

Scope

Hold strategy and delivery for one or several significant product areas, from picking the problems worth solving through production release

Convert customer needs and day-to-day domain workflows into specifications, agent behavior definitions and reusable components for engineers

Work alongside machine-learning engineers, prompt designers and subject-matter experts to settle the tasks the agents take on, their conduct, and the points where a person steps in

Try ideas quickly: prototype, run small tests and put early versions in users’ hands ahead of committing a sprint

Decide priorities against genuine trade-offs: complexity, model quality, revenue impact and customer value

Profile

Five to fifteen years running products or business units at high-growth startups, including launches of technical B2B or AI products

Time spent next to engineers on demanding products such as machine-learning recommendations, data platforms or agents

Able to code, or an expert user of AI coding assistants

STEM degree, curiosity, a builder’s instinct and first-principles reasoning

Visa transfers considered

Based in New York City, on-site.