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Outset AI

Product Manager

Posted An Hour Ago
Hybrid
San Francisco, CA
200K-230K Annually
Senior level
Hybrid
San Francisco, CA
200K-230K Annually
Senior level
Own product initiatives from strategy and customer discovery through launch and measurable impact. Prioritize customer problems, collaborate with engineering and design, ensure product quality, prepare launches, and measure adoption and outcomes. The role requires strong product judgment, hands-on AI fluency, B2B software experience, customer research skills, and the ability to communicate clearly across technical and business teams.
The summary above was generated by AI

Outset invented a better way to do research: AI-powered user interviews.

Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.

The research industry is massive (>$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.


Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025—less than six months after our Series A—led by Radical Ventures with participation from M12 (Microsoft’s venture arm), 8VC, Y Combinator, and Adverb Ventures.

The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.

We’re a tight-knit team serving some of the world’s largest enterprises.

You’ll own product initiatives from strategy and discovery through launch and measurable customer impact. The challenge is to make complex research workflows intuitive and help customers trust and act on AI-generated results, balancing speed, usability, and research quality.

This is a hands-on individual contributor role on the Core Product team, working with engineering and design, the Core Product lead, Sales, and Customer Success.

Responsibilities

  • Set direction and make tradeoffs. Balance immediate needs with longer-term goals. Connect customer problems to business impact, prioritizing work that improves adoption, retention, and expansion.

  • Start with customer evidence. Use customer interviews, product usage, and Sales and Customer Success feedback to identify the problems worth solving.

  • Build with engineering and design. Shape solutions, test assumptions, clarify requirements, and resolve open questions.

  • Own product quality. Test what you ship, catch confusing workflows and edge cases, and follow through on fixes.

  • Lead launch readiness. Equip customer-facing teams with positioning, demos, and launch materials that support adoption.

  • Measure and iterate. Define success, track customer outcomes, and decide what to improve next.

Qualifications

  • Typically 5+ years of product management experience, including at least 2 years owning product decisions for B2B software.

  • A track record of shipping products and improving adoption and outcomes through customer feedback and data.

  • Strong product judgment: identify underlying problems, prioritize competing needs, and make and explain decisions with incomplete information.

  • You use AI tools hands-on and can reason about where AI improves a workflow, where it falls short, and how customers should evaluate its output.

  • Strong collaboration with engineers and designers, technical fluency to discuss constraints, and attention to the shipped experience.

  • Clear writing and communication with customers, engineering, and leadership; you build alignment and work independently.

Nice to have

  • Experience building new products or substantially evolving existing ones in a small, fast-moving team.

  • A background in user research or experience building B2B products for research, insights, analytics, AI, or other complex professional workflows.

  • Prior product marketing or sales enablement experience, including creating effective demos and launch materials.

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