Product Manager

present of AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

present of AI is seeking a Product Manager to own a product area from discovery through launch, turning customer problems into clear specs and measurable outcomes.

You’ll work closely with design and engineering, use data to drive prioritization, and iterate on AI-enabled features for our AI moderated research platform.

Strong candidates balance fast delivery with high-quality UX, trust, and usability, ensuring AI outputs meet customer needs and safety considerations.

Qualifications

• Owns product area from discovery to launch.
• Collaborates with design and engineering to define specs.
• Uses data to drive prioritization and iteration.

Responsibilities

• Translate customer problems into clear specs.
• Balance speed with quality UX and trust in AI outputs.

Skills

Product area ownership

Cross-functional collaboration

Data-driven prioritization

Job description

A Product Manager here would typically own a product area from discovery through launch, turning customer problems into clear specs and measurable outcomes. A strong candidate brings structured discovery, close work with design and engineering, and comfort with data and iteration. Because the company builds an AI moderated research platform, some feel for research workflows and for making AI outputs trustworthy helps.

How it fits the AI era

AI shifts part of the product work toward faster drafting, synthesis and prototyping, so judgment about what to build matters more than raw output. The human parts stay central: talking to customers, setting priorities, and deciding when AI results are good enough to act on. This role sits close to that question, since the product itself asks customers to trust AI generated findings.

How it builds AI experience

The role offers hands on exposure to AI moderated interviews and to the trust and usability problems that come with summarizing many conversations at once. That experience can be built by studying how research teams actually use AI summaries and where they hesitate. Practicing evaluation of AI outputs and learning basic prompt and model behavior would strengthen a candidacy.

Worth showing

• Product discovery and specs
• Working with design and engineering
• Data informed prioritization

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 Outset

An AI-moderated research platform that, the company says, runs and summarises hundreds of customer interviews at once, by voice, video or text.