Senior Product Manager, Enterprise Platform

WHY WE'RE LOOKING FOR YOU

IN THIS ROLE, YOU'LL

• How do we simplify deploying and managing Retool across different customer environments - and ensure our deployment infrastructure is robust enough to support the compute, scaling, and reliability demands of AI-powered workloads?
• How should permissions, audit logging, and compliance controls evolve to meet enterprise needs without adding friction for developers?
• What's the right API and infrastructure-as-code surface (API, Terraform, MCP etc.) for enterprise platform teams to manage Retool at scale?
• How do we reduce the operational burden on customers adopting Retool - making onboarding and expansion feel seamless?
• How do we build governance primitives that are flexible enough for diverse org structures but opinionated enough to be useful out of the box?
• As AI agents and autonomous workflows proliferate, what deployment infrastructure, governance, permissioning, and resource controls do enterprises need to run them reliably and safely at scale?

• Drive projects end-to-end - from discovery through launch - without needing hand-holding
• Make decisions and own tradeoffs rather than seeking broad consensus
• Work closely with engineering on deeply technical problems (data connectivity, infrastructure, access control systems)
• Partner with sales and customer success to understand enterprise pain points, while maintaining a strong point of view on what to build vs. what to push back on
• Spend time directly with customers to understand how they deploy, govern, and scale internal tools

THE SKILLSET YOU'LL BRING

• 4+ years of product management experience at a technology company, ideally one selling to enterprises
• Strong technical background - you've been an engineer, or you work at an engineering depth that lets you evaluate architecture decisions and tradeoffs directly
• Track record of shipping complex, cross-functional projects end-to-end with high independence
• Decisive product instincts - you form strong opinions, make calls, and course-correct rather than waiting for alignment
• Experience bridging engineering and go-to-market teams - you can translate customer needs into product priorities and arm sales with what they need
• Comfortable working directly with enterprise customers and navigating the complexity of their environments
• Platform thinking - you default to scalable, systematic solutions rather than one-off feature work
• AI fluency - you understand how AI agents, LLMs, and autonomous workflows behave, what infrastructure and resource demands they introduce, and what constraints (cost, latency, safety, unpredictability) enterprises need to manage to deploy them confidently
• Ability to maintain focus and a strong point of view under pressure from competing stakeholder requests
• Strong ownership mindset - you do what's needed to ship the right product, not just what's in scope