---
title: 'Product Manager, AI Monetization & Expansion at Retool'
canonical: 'https://feeny.ai/job/product-manager-ai-monetization-expansion-retool-san-francisco-vehxbz0cz769'
type: 'job'
last_seen: '2026-10-15'
---

# Product Manager, AI Monetization & Expansion at Retool

- **Company:** Retool
- **Location:** San Francisco, CA
- **Compensation:** $162k–$285k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.gem.com/retool/am9icG9zdDo4mSj3l3_zL_LFKiKqx1rV

## Job description

## WHY WE'RE LOOKING FOR YOU

Retool is becoming the platform enterprises use to build and run apps, automations, and AI agents that act on real business systems. Most organizations start with a few teams building on Retool. The opportunity is to make Retool, and the AI capabilities in it, something the whole organization adopts, on a pricing model that makes sense and with controls admins trust.

We're looking for a Product Manager to own how that happens on Retool.

You'll own three connected areas:

- Expansion. Build the enterprise platform features that drive wider adoption of Retool and its AI capabilities, making Retool easier to onboard onto, manage, and share across an organization.
- Monetization. Define how Retool bills for AI usage, including value metrics, packaging, metering, and the upgrade paths customers follow as they grow.
- Controls. Build the spend controls and usage policies that let admins and finance teams approve more AI: budgets, limits, allocation across teams, and rules for which models, tools, and data each team can use.

These areas depend on each other. Organizations roll out Retool and AI more widely when Retool is easy to onboard onto, manage, and share, when costs are clear, and when admins trust the limits they've set. Clear pricing and good controls remove the reasons to hold back.

AI also changes the commercial model. Usage is variable and hard to predict. The cost and value of an agent depend on the models, tools, data, and actions it uses, not on the number of people building with it. Customers need room to experiment and predictable spend as they scale. Retool needs a business model that encourages adoption and still grows sustainably.

This is a product role with a growth outcome, not a pricing-operations role. You'll work with customers to understand where Retool and AI create value for them, then partner with engineering, design, data, finance, and go-to-market teams to build the platform features, billing systems, and controls that grow usage. You'll lead focused projects from discovery through launch, adoption, and iteration.

You'll start by owning a focused set of projects across these areas, and your scope will grow as you deliver.

You'll join a small, experienced team that values clear thinking, speed, and direct communication, at a company where product is a core driver of how the business grows.

## IN THIS ROLE

Your goal is to grow adoption of Retool and its AI capabilities across every organization that uses it.

You'll work across problems like:

- What would make it easier for a new team or builder to onboard onto Retool and start using its AI capabilities?
- What do admins need to manage AI usage as adoption grows across the organization?
- What should customers pay for as they build and run AI apps, workflows, and agents, and which value metrics encourage experimentation while keeping enterprise spend predictable?
- How can enterprises see which teams and use cases produce the most return, and move AI capacity toward them?
- Which capabilities should be broadly available, and which should set Retool's enterprise offering apart?

Day to day, you'll:

- Set the strategy and roadmap across expansion, monetization, and controls, grounding priorities in customer evidence, usage data, technical constraints, and business impact.
- Find where adoption of Retool stalls inside an organization, whether at onboarding, management, or sharing. Form a hypothesis, ship a platform change, and measure the result.
- Work with engineering and design on enterprise platform features that drive expansion: onboarding for new teams and builders, managing Retool across the organization, and sharing apps, workflows, and agents across teams.
- Work with engineering on billing and control systems, such as metering, entitlements, spend controls, usage policies, cost reporting, and upgrade paths.
- Partner with data and finance to understand unit economics, model customer behavior, and measure the effect of pricing and packaging decisions.
- Work with enterprise admins, platform owners, and finance leaders to understand how they budget for, govern, and justify AI spend.
- Partner with Sales and Customer Success to find what blocks expansion, and turn recurring needs into product capabilities rather than one-off deals.
- Make clear product and commercial tradeoffs without waiting for broad consensus.
- Define success through outcomes such as adoption of Retool across teams, adoption of Retool's AI capabilities, expansion revenue, spend predictability for customers, and sustainable unit economics.

## WHAT WE'RE LOOKING FOR

Experience in billing, monetization, or enterprise platform products is a strong plus. It isn't a requirement. We care most about how you think, and the strongest candidates are exceptional in at least one area below and solid in the rest.

## WHAT EVERY CANDIDATE NEEDS

- 4+ years of product management experience shipping technically complex products, with outcomes you can point to.
- The technical depth to hold your own with senior engineers on systems like metering pipelines, billing infrastructure, and AI workloads.
- Comfort with numbers. You can build a model, analyze product data yourself, and reason about unit economics.
- Strong product judgment. You form opinions, make decisions, explain the reasoning clearly, and change course as you learn.
- A track record of turning ambiguous, cross-functional problems into clear direction and shipped outcomes.
- Strong ownership and a willingness to stay close to implementation, not just the roadmap.
- Hands-on curiosity about AI. You have built or experimented with modern AI tools.

WHERE YOU MIGHT STAND OUT (one is enough)

- Growth. You've moved an adoption or expansion metric through product changes, and you run experiments carefully.
- Billing and monetization. You've built usage-based billing, metering, entitlements, or pricing and packaging for a technical product.
- Enterprise platform. You've built onboarding, admin tooling, sharing, permissions, or spend management for enterprise buyers.
- Platform. You've built infrastructure or developer-platform products and understand how technical products get adopted across an organization.
- Zero to one. You've founded or led a product from early stage, and made the pricing and growth decisions yourself.

Prior experience in AI, billing, or enterprise controls will help you ramp faster. If you don't have it but you're an exceptional PM who wants to work on how enterprises adopt Retool and pay for AI, we still want to talk to you.

## About Retool

## Company Overview
- **One-liner**: Retool provides a platform for building, deploying, and managing custom internal software and AI applications by connecting to any database, API, or LLM.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: David Hsu (CEO)

## Core Business
- **Primary industry**: Software Development, Enterprise Internal Tools, AI Application Platform
- **Target customers**: B2B, Enterprise, SMB; specifically developers, IT teams, and business operators building internal software
- **Mission or purpose**: To enable companies to build production-ready internal software and AI applications dramatically faster, with enterprise-grade security and governance, so that domain experts and developers alike can solve critical business problems.

## Products & Services
- **Retool App Builder**: A low-code platform to build custom internal apps (dashboards, admin panels, CRUD tools) by connecting to databases and APIs. Type: SaaS/Platform.
- **Retool Workflows**: A visual automation tool to build and orchestrate complex business processes and backend logic. Type: SaaS/Platform.
- **Retool AI**: An AI-powered app generation capability that transforms natural language into production-ready applications, agents, and workflows, integrating with any LLM. Type: AI Feature/Platform.
- **Retool Mobile**: A solution to build and deploy internal mobile apps from the same Retool platform. Type: SaaS/Platform.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (last round was Series C).
- **Key Metric**: Annual Revenue of $5 million (as per LinkedIn company data); Total Funding of $141.3 million.
- **Notable Investors/Partners**: Sequoia Capital (lead), Nat Friedman, John Collison, Daniel Gross. Customers include Amazon, Stripe, Brex, and Orangetheory Fitness.
- **Growth Signals**: Over 10,000 organizations use Retool. The company has automated over 100 million hours of work. It has 6 offices across the US and UK. Despite a recent headcount reduction (-11% YoY), it maintains a strong brand in the enterprise internal tools space and is aggressively pivoting into AI-powered app generation.

## Competitive Advantages
- **Enterprise Governance from Day One**: Unlike point solutions, apps built in Retool are production-ready and pass security reviews, eliminating the need for rebuilds or audit scrambles.
- **Deep Data Connectivity**: Securely connects to existing databases, APIs, and internal systems, ensuring apps run on real data with real permissions.
- **Unified Platform**: One platform to manage, orchestrate, and scale all internal apps, agents, and workflows, providing centralized visibility and governance for IT.
- **Trusted by Large Enterprises**: A strong customer base of high-profile companies (Amazon, Stripe, Brex) serves as a powerful validation of its enterprise readiness.

## Strategic Focus
- **AI as the Core Platform**: Retool is positioning itself as the "first enterprise AppGen platform," where AI is used to generate production-ready code from natural language, expanding the definition of "developer" to include analysts and operators.
- **Scaling Enterprise Features**: The company is focused on building out governance, security, and platform capabilities to support large-scale deployments across complex organizations.
- **International Expansion**: With offices in London and a German-speaking Sales Engineer role, Retool is actively expanding its presence in the European market.

## Why Work Here
- **Culture**: The company values ambition, intense curiosity, energy, and deep care. They emphasize moving fast, acting like an owner, and being both demanding and supportive.
- **Work Environment**: Hybrid model with offices in San Francisco, New York, Salt Lake City, and London. The company believes great work happens when teams collaborate in person.
- **Product Impact**: Employees are close to the product and use Retool internally, giving them a direct voice in improving it. The mission is to enable a wider community of builders to create production-grade software safely.
- **Hiring Process**: Structured, with initial recruiter/hiring manager chats, a technical evaluation or practical exercise, and a final round of 3–5 interviews. The company aims for transparency and candidate preparation.
- **Employee Sentiment**: Employer rating of 3.4/5.0 (127 reviews). Strengths include Work-Life Balance (4.1) and Culture (3.7). Compensation (3.4) and Career (3.4) are areas for potential improvement.

## Sources
1. [retool.com](https://retool.com/)
2. [retool.com/careers](https://retool.com/careers)
3. [retool.com/about](https://retool.com/about)
4. [linkedin.com/company/tryretool](https://www.linkedin.com/company/tryretool)
5. [jobs.gem.com/retool](https://jobs.gem.com/retool)

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