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Open nowPosted 55 days ago

Software Engineer, Automations

Retool25 open roles

Where
San Francisco
Work mode
Hybrid
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Your applicationOpen nowSoftware Engineer, AutomationsRetool · San Francisco
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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Retool postings stay open a median of 41 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 55 days ago

Retool median: 41 days open

The posting

WHAT YOU'LL DO We're looking for a Software Engineer to help build the next generation of automation at Retool. You'll work on the systems powering Retool Workflows and Agents, helping customers automate business processes, orchestrate complex workflows, and build AI-powered applications that integrate across their technology stack.

This is a highly technical, product-minded engineering role. You'll partner closely with product and design to shape an emerging area of the platform, translating ambiguous problems into scalable systems and intuitive developer experiences. From orchestration engines and execution infrastructure to AI integrations and developer tooling, you'll help define how automation is built at Retool.

You'll own projects end-to-end—from technical design through implementation, launch, and iteration—while helping establish the architecture that will support this product area as it scales.

WHO YOU'LL WORK WITH You'll join the Automations team, partnering closely with Product, Design, and GTM to build one of Retool's fastest-growing product areas. The team is focused on extending Retool beyond internal applications into backend automation and AI agents, enabling customers to orchestrate mission-critical workflows across their businesses.

We're a collaborative team that enjoys solving difficult technical problems, shipping quickly, and working directly with customers to understand how they're building. You'll have significant ownership and influence over both the technical direction of the platform and the customer experience.

IN THIS ROLE, YOU WILL Design and build the systems powering Retool Workflows and Agents. Build scalable systems that enable customers to orchestrate complex workflows, automate business processes, and leverage AI throughout their applications. Partner closely with product and design to turn ambiguous product ideas into thoughtful technical solutions. Own projects end-to-end—from architecture and implementation to rollout, monitoring, and iteration. Work across the stack to improve the developer experience, platform reliability, and execution performance of automation workloads. Collaborate directly with customers to understand their automation challenges and build solutions that solve real-world problems. Help shape the technical direction of an emerging product area through architecture discussions, technical decision-making, and code reviews. Contribute to growing the engineering team through interviewing and mentoring.

THE SKILLSET YOU'LL BRING 5+ years of professional software engineering experience, ideally including time at a high-growth startup. Experience building and owning complex, distributed systems or developer platforms. Strong full-stack engineering experience, with comfort working across backend services, APIs, and frontend user experiences. Experience designing scalable backend systems and cloud infrastructure (AWS, GCP, or Azure). Ability to navigate ambiguous technical problems and make thoughtful architectural tradeoffs. Strong product intuition and a customer-first mindset—you enjoy understanding how people use what you build. Excellent collaboration skills and experience partnering closely with product and design. A bias toward ownership, iteration, and shipping high-quality software.

NICE TO HAVE Experience with JavaScript, TypeScript, Node.js, and React. Experience building workflow orchestration, distributed execution systems, or event-driven architectures. Experience working with AI infrastructure, LLMs, agents, or developer tools. Experience with PostgreSQL or other relational databases. Experience mentoring engineers and helping shape technical direction across a team.

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