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Senior Product Manager, Enterprise Platform

Retool

Job Location:

San Francisco, CA - USA

Yearly Salary: $ 161500 - 285000

Posted: 24 August 2026 (15 days ago)

Application Deadline: 21 November 2026

Vacancies: 1 Vacancy

Job Summary

ABOUT RETOOL

Nearly every company in the world runs on custom software for critical operations like tracking performance metrics handling support workflows building admin dashboards and countless processes you might never have thought of. But most companies dont have the resources to properly invest in these tools leading to a lot of old clunky internal software or worse teams still stuck in manual and spreadsheet workflows.

AI has changed who gets to build software. The definition of developer now includes analysts operators and domain experts creating solutions directlyand the tools they reach for are multiplying by the week. Thats both an opportunity and a challenge: as more people build with more AI tools the risk of shipping ungoverned software into production grows just as fast.

At Retool were building the platform that makes all of it safe to ship. Build with any AI tool you want then deploy into one place that connects to your real business data enforces enterprise policies automatically and lets teams create once and reuse everywhere with shared trusted components. The cost of building software has collapsed. The cost of governing it hasntand thats the problem we solve.

Developers and domain experts have already automated over 100 million hours of work on our platform freeing them to focus on creative problem-solving and strategic work that drives real business value. The people closest to the problem can now build the software to solve it safely and within enterprise guardrails.

Lets build the future together.

WHY WERE LOOKING FOR YOU

Were looking for a Product Manager to own and drive critical workstreams on Retools Enterprise Platform team. This is the team that builds the platform layer governing how organizations adopt secure and scale Retool - so their teams can build and run apps automations and AI agents confidently across the enterprise.

The platform stack spans deployment infrastructure permissions and access controls audit logging admin tooling API / MCP integrations and more. As AI agents and AI-powered workflows become central to how enterprises build and operate on Retool both the deployment infrastructure and the governance layer need to evolve - to handle new compute and scaling demands new trust and safety requirements and new operational complexity. Much of that work will be yours. Youll own focused projects at a time and drive them end-to-end - scoping the problem making tradeoffs shipping and iterating with customers. The work is technically complex high-stakes and directly tied to our largest customers ability to trust and expand their use of Retool.

This is a role where youll demonstrate strong execution across a couple of high-impact projects - getting deep into the details leading across engineering product and design partnering closely with go-to-market and building direct relationships with our most valued customers. Youll need to be decisive technically sharp and comfortable pushing back when priorities compete. The right person brings platform instincts: you build scalable solutions rather than reactive piecemeal features.

Youll join a small experienced team that values clear thinking speed and direct communication - and a company where product is a core driver of how the business grows.

IN THIS ROLE YOULL

Your goal is to make it simple for enterprises to adopt deploy and trust Retool across their organization - including as AI agents and autonomous workflows become a core part of how they build. That means ensuring our deployment infrastructure is robust and scalable meeting security compliance and governance requirements without slowing down builders and making sure the platforms controls and infrastructure keep pace as what gets built on Retool grows more powerful.

Youll work across problems like:

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
Whats 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

Day to day youll:

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 YOULL BRING

4 years of product management experience at a technology company ideally one selling to enterprises
Strong technical background - youve 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 whats needed to ship the right product not just whats in scope

Retool offers generous benefits to all employees and hybrid work location. For more information please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK please refer to our careers page and review the indicated locations.

Required Experience:

Senior IC

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