Backed by Y Combinator and a16z.
About the role
The hardest and most interesting problem in enterprise right now is making AI actually useful inside real, messy workflows. Most enterprises are failing at exactly that step, and it is the single biggest bottleneck standing between them and an AI transformation that works. At Within you’ll own the product surfaces where that gets decided: turning complex AI capabilities into experiences customers love, and doing it fast.
What they're looking for
- 5-8 years in product management. B2B SaaS or AI-platform background preferred, with a track record of shipping technically complex products to measurable outcomes
- A builder with real product instincts. You ship working prototypes with AI tooling (Cursor, Claude Code, v0) to validate a direction rather than waiting on engineering capacity. Links to things you’ve built are a strong plus
- Technically credible. You collaborate on architecture diagrams, reason about system tradeoffs, are comfortable with SQL and API documentation, and can raise a simple PR. Engineers trust your requirements
- Fast, optimistic, and high-slope. You synthesize a lot of context quickly, decide, and iterate. Ambiguity and speed energize you rather than stall you. You've developed rituals to continuously learn and stay at the bleeding edge of AI-native velocity
More about this role
About Within
Tldr on us: Series B, $91M raised, 7x growth last year.
Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that.
Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously.
ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence.
OpenAI, Google, DoorDash, and Stripe use Within to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch.
We move fast, reward agency, and care deeply about our customers, our team, and our mission.
The hardest and most interesting problem in enterprise right now is making AI actually useful inside real, messy workflows. Most enterprises are failing at exactly that step, and it is the single biggest bottleneck standing between them and an AI transformation that works. At Within you’ll own the product surfaces where that gets decided: turning complex AI capabilities into experiences customers love, and doing it...
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