Product Manager, AI Platform Infrastructure
About The Position
Retool is building the platform that makes it safe to ship custom software and AI tools into production. As more people build with more AI tools, the risk of shipping ungoverned software into production grows. Retool's platform allows users to build with any AI tool, then deploy into one place that connects to real business data, enforces enterprise policies automatically, and enables teams to create once and reuse everywhere with shared, trusted components. The cost of building software has collapsed, and Retool solves the problem of governing it. Developers and domain experts have already automated over 100 million hours of work on the Retool platform, allowing them to focus on creative problem-solving and strategic work. Retool is becoming the platform enterprises use to build and run apps, automations, and AI agents that can reason, act, and operate against real business systems. This role focuses on the infrastructure and operational capabilities that allow enterprises to run Retool confidently at scale, including deployment infrastructure, observability, admin tooling, access controls, audit logging, and programmatic management through APIs, infrastructure as code, and MCP. AI agents introduce new platform problems due to their dynamic, less predictable workloads, and new requirements around isolation, reliability, resource consumption, failure recovery, and administrative control. The Product Manager will help evolve Retool's platform to meet these requirements. This is a platform product role, not a forward-deployed role, involving work with sophisticated customers to understand their environments and translate recurring needs into durable capabilities. The role requires partnering directly with engineering on technical and architectural tradeoffs and leading focused projects from discovery through launch and adoption. The position is within a small, experienced team that values clear thinking, speed, and direct communication, at a company where product is a core driver of business growth.
Requirements
- 4+ years of product management experience building infrastructure, developer-platform, or technically complex enterprise software.
- Experience with cloud infrastructure and deployment products. Ability to reason about areas such as compute, networking, orchestration, multi-tenancy, observability, reliability, and self-hosted environments.
- The technical depth to participate credibly in architecture discussions and evaluate tradeoffs with senior engineers.
- A track record of turning ambiguous, cross-cutting problems into clear product direction and shipped outcomes.
- Strong product judgment. Ability to form opinions, make decisions, and course-correct as you learn.
- Experience working directly with technical enterprise customers and translating their constraints into product priorities.
- The ability to distinguish recurring platform needs from one-off customer requests.
- Strong ownership and the willingness to stay close to the implementation, not just the roadmap.
- Hands-on curiosity about AI. Experience building or experimenting with modern AI tools and understanding how agents, LLMs, and autonomous workflows differ from conventional applications.
Nice To Haves
- Prior AI product-management experience is helpful, but not required. We’re equally interested in experienced infrastructure and developer-platform PMs who want to apply that depth to the emerging problems created by enterprise AI.
Responsibilities
- Set the strategy and roadmap for your area, grounding priorities in customer evidence, technical constraints, and business impact.
- Lead projects from discovery through launch, adoption, and iteration.
- Work directly with engineering on infrastructure, deployment, observability, data connectivity, and access-control systems.
- Make clear product and architectural tradeoffs without waiting for broad consensus.
- Work with platform engineering, infrastructure, and security leaders at enterprise customers to understand how Retool fits into their environments.
- Partner with Sales and Customer Success while maintaining a strong point of view on which customer needs should become scalable platform capabilities.
- Define success through outcomes such as deployment time, reliability, operational burden, and enterprise adoption.
Benefits
- Generous benefits to all employees
- Hybrid work location
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
