Senior Product Manager, Enterprise Platform

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 don't 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 directly-and the tools they reach for are multiplying by the week. That's 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, we're 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 hasn't-and that's 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.

Let's build the future together.

WHY WE'RE LOOKING FOR YOU

We're looking for a Product Manager to own and drive critical workstreams on Retool's 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. You'll 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 you'll 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. You'll 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.

You'll 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, YOU'LL

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 platform's controls and infrastructure keep pace as what gets built on Retool grows more powerful.

You'll 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?
• 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?

Day to day, you'll:

• 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

For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

The base pay range for this role is $161,500 - $285,000 per year.

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.