Lead product manager

present of AI; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Present of AI in San Francisco seeks a senior product manager to own large, ambiguous product problems from discovery through launch and adoption. You will mentor other PMs, align multiple stakeholders and drive day-to-day execution without formal authority.

You will work at the intersection of AI models and enterprise needs, turning fast-moving capabilities into dependable products while balancing governance, reliability, and user trust through pragmatic tradeoffs.

Qualifications

• Experience shipping complex software products across multiple teams.
• Ability to reason about system design and model behavior with engineers.
• Judgment to set strategy while enabling day‑to‑day execution.
• Mentoring other product managers and aligning stakeholders without formal authority.

Responsibilities

• Own large, ambiguous product problems from discovery through launch and adoption.
• Collaborate with engineering, research, and other stakeholders to turn AI capabilities into dependable products.
• Balance governance and reliability considerations with market needs and user trust.

Job description

This role owns large, ambiguous product problems that cut across several teams, taking them from early discovery through launch and adoption. A strong candidate brings years of product management experience shipping complex software, enough technical depth to debate system design and model behavior with engineers, and the judgment to set strategy while still unblocking day to day execution. Mentoring other product managers and aligning many stakeholders without formal authority are central to the job.

How it fits the AI era

The work sits inside a company whose product is AI agents grounded in company data, so the role is about turning fast moving model capabilities into dependable products. AI speeds up drafting, research and analysis, but deciding which problems matter, weighing tradeoffs and earning trust with enterprise buyers stay human. Governance and reliability concerns shape many of the decisions.

How it builds AI experience

A candidate would gain hands on exposure to building products powered by large language models and agents, including how they are grounded in company knowledge and supervised. Experience with AI guardrails or deploying AI in regulated settings would help, and can be built by working closely with engineering and research on real launches.

Worth showing

• Complex product launches
• Cross team leadership
• Technical depth with LLMs

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.