Senior Technical Product Manager

Senior Technical Product Manager

We're looking for a Senior Technical Product Manager to own core product surfaces at the intersection of AI, data, and enterprise workflow. You'll bring the engineering depth to earn credibility with technical teams and the product instincts to champion customers relentlessly — working directly with our CTO, engineering leads, and GTM teams to turn complex AI capabilities into experiences customers love.

Our AI discovers how work actually happens across every team and application, structures it into a living Context Graph, and improves it continuously.

Service Now mapped 900+ processes in 9 days. Door Dash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence.

OpenAI, Google, Door Dash, 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.

• A PM with strong technical foundations — You've shipped products with non-trivial technical complexity. You read architecture diagrams, ask smart questions in eng discussions, and write specs that don't require translation.
• Customer-obsessed and discovery-driven — Relentless about getting in front of customers. You turn qualitative signal into structured insight and challenge internal assumptions with real evidence.
• An AI-native product thinker — You've built or owned features powered by LLMs, ML pipelines, or AI-driven automation. You understand the product tradeoffs of probabilistic systems.
• Outcome-oriented — You define success metrics before you start building. You instrument, analyze, and iterate. You care whether what shipped actually worked.
• A strong communicator — You can align engineering, design, and leadership on a shared direction without burning political capital. You write clearly and speak directly.
• Experience:
  
  4–7 years in product management, at least 2 in a technical PM role. B2B SaaS or AI platform experience strongly preferred.

• Product & UX Taste — You identify what is wrong with a product experience without being told. You make design decisions that users describe as obvious in hindsight. You consistently distinguish between what users say and what they need.
• AI-Native Velocity — You operate at the bleeding edge of AI within the product function — prototyping, gathering customer feedback, running analytics, and automating your own workflows. You design AI features that account for model failure modes, non-determinism, and evaluation needs. You ship meaningful work weekly and use AI tools to move at a pace that would be impossible manually.
• Ships to Outcomes — You own delivery end-to-end. You use AI coding tools (Cursor, Claude Code) to build working prototypes independently and validate product directions with real artifacts — you don't wait for engineering capacity to test an idea. The bar is not shipping production-grade code; it is expressing product ideas in working, shippable form.
• Communication — You communicate clearly in both writing and speech — with internal stakeholders and directly with customers. You create high-quality written artifacts: specs, triage summaries, customer-facing documents. You compress ambiguous customer and stakeholder input into clear, prioritized direction. You translate technical constraints into business language and vice versa without losing fidelity.

• Speak directly with many customers and customer executives to understand their needs
• Prototype and rapidly iterate on your product ideas
• Own product areas with real scope — define problems, prioritize ruthlessly, write detailed specs, drive features from concept through production
• Lead discovery rigorously — run customer interviews, synthesize field feedback from Sales and Value Delivery
• Partner deeply with engineering and design — be the PM engineers trust for clear requirements and fast, principled decisions
• Drive AI-native product development — own features built on LLMs, set user expectations, design feedback loops
• Measure and iterate — define success metrics, build dashboards, close the…