Engineering Manager, Automations
Listed on 2026-10-29
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Software Development
AI Engineer (Applied/Software), Software Engineer, Software Architect, DevOps
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.
We’re looking for an Engineering Manager to lead Retool’s Automation team—the team building the next generation of workflows, integrations, and AI-driven agents. Your team will expand Retool beyond internal apps into end-to-end process orchestration, helping customers automate everything from backend operations to complex workflows across their businesses. This work sits at the intersection of platform engineering, developer experience, and applied AI.
As customers build increasingly powerful automated systems, they need ways to control when AI acts autonomously, keep humans in the loop, and understand what happens when something goes wrong. Your team will build the execution infrastructure and product experiences that make these systems useful, reliable, and trustworthy in production. You’ll lead engineers through technically complex, open-ended problems, balancing rapid experimentation with the long-term architectural soundness of the platform.
Working closely with Product, Design, and go-to-market partners, you’ll help set the team’s direction, make clear tradeoffs, and turn emerging customer needs into scalable automation capabilities. You’ll also build direct relationships with customers to understand their workflows, where they encounter friction, and what they need to automate more of their business. At Retool, we emphasize the word “leader.” We’re looking for someone who takes ownership, gets decisions made, keeps the team’s energy and tempo up, and continuously improves the environment for our engineers.
You’ll pair strong technical judgment with thoughtful people leadership, helping engineers grow while setting a high bar for execution, reliability, and customer impact.
- Lead a fullstack team building Retool’s automation capabilities, including workflows, integrations, and AI-driven agents.
- Partner with Product and Design to define the team’s strategy and roadmap, connecting technical investments to customer needs and business impact.
- Guide technical design and architecture across workflow execution, state management, service integrations, observability, and system reliability.
- Help…
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