You will define and scale automation capabilities, focusing on workflows and AI-driven agents, while collaborating with cross-functional teams.
ABOUT RETOOL
Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.
At Retool, we’re building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software—and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production-grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.
Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for.
Let's build the future together!
WHAT YOU’LL DO
We’re looking for a Product Manager to help define and scale the next generation of automation at Retool. You’ll lead the evolution of Retool’s automation capabilities—including workflows, integrations, and AI-driven agents—expanding our platform beyond internal apps into end-to-end process orchestration.
You’ll operate in a highly ambiguous, fast-moving space: forming a strong point of view on where automation and AI are heading, identifying the highest-leverage product bets, and driving them from early concept through customer adoption. This role sits at the intersection of platform, developer experience, and applied AI—and will help shape automation as a core pillar of Retool’s product strategy. You’ll operate at the frontier of applied AI and workflow orchestration: deciding when AI should act autonomously, where humans stay in the loop, and how teams debug, trust, and scale automated systems. The problems are open-ended, the surface area is large, and the impact is foundational to Retool’s platform strategy.
You’ll join Retool’s Product team, collaborating closely with engineers, designers, and go-to-market leaders building the future of internal software. The team is senior, fast-moving, and deeply technical, with experience across high-growth startups and large-scale platforms.
The Automation team is responsible for extending Retool beyond internal applications into workflow orchestration and AI agents—powering everything from backend operations to autonomous system coordination.
- 6+ years of product management experience, ideally with complex workflows, platforms, or developer-facing products
- A point of view on AI-first automation and how intelligent systems should behave in production environments
- Experience shipping complex, multi-step systems that integrate across services, and tools
- Comfort operating at a low level of abstraction with engineers on execution models, state management, and system reliability
- Strong synthesis skills—you can distill noisy customer signals and technical constraints into a clear strategy
- Bias toward action: you balance long-term vision with pragmatic execution over 6–12 month horizons
- A collaborative, low-ego work style with the ability to influence cross-functional partners and executives
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 $194,750 – $342,000 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.
Retool San Francisco, California, USA Office
Retool's headquarters is in San Francisco's Mission District within walking distance to the 16th St. Bart station, great coffee shops, and SF institutions like Dandelion Chocolate and Tartine Manufacturing. We have dedicated parking, secure bike storage, and 24/7 onsite security.
Similar Jobs
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Lead systems engineering for space sensing and ground systems: test, analyze, verify, and validate missile warning and remote sensing systems; author requirements, technical specifications, ICDs, integration and test plans; coordinate with clients and teams; support acquisition and deploy resilient space and ground architectures.
Top Skills:
AgileCloud ArchitectureDevOpsDevsecopsDmspDod 5000.01Dod 5000.02EwsForgeHbtssIeee 15288.1Ieee 15288.2Incose (Asep/Csep/Esep)Model-Based Systems Engineering (Mbse)Network ArchitectureNext Generation OpirRf SystemsSatellite Ground SystemsSbirsSpace-To-Ground CommunicationsStssWsf-M
Fintech • Information Technology • Financial Services
Advise advisory teams on portfolio construction, develop and improve models, communicate quantitative and qualitative insights, present thought leadership, introduce BlackRock Aladdin tools, build distributor relationships, manage territory and meeting schedule, and partner with sales to promote consultative, portfolio-centric selling.
Top Skills:
Aladdin
Fintech • Information Technology • Financial Services
Design and build application solutions across the client and investment management lifecycle. Support all SDLC phases including requirements, design, development, testing, implementation, and production support. Produce technical design documents, leverage in-house core technologies, and collaborate in an Agile environment (hybrid: 4 days onsite).
Top Skills:
AngularAzure Ci/CdDb2GitJavaJavaScriptJspJunitLinuxMultithreadingObject Oriented ProgrammingSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
