Jobs at Retool

Lead Retool’s Automation engineering team building workflows, integrations, and AI-driven agents. Set technical strategy, guide architecture for execution infrastructure and reliability, partner with Product, Design, customers, and go-to-market teams, and drive delivery from scoping through launch. Coach engineers, manage performance, recruit talent, and establish processes that improve collaboration, maintainability, and customer impact.

Lead Retool’s Enterprise Platform engineering team, building scalable capabilities for deployment, permissions, access controls, audit logging, administration, integrations, and AI-powered workflows. Set technical strategy and architecture, guide execution, partner with product, design, customers, and go-to-market teams, and balance security, reliability, delivery speed, and maintainability. Coach engineers, manage performance, recruit talent, and improve cross-team collaboration and engineering processes.

Build and operate Retool’s production agent platform across product, infrastructure, and evaluation layers. Design agent prompting, context construction, retrieval, routing, tool use, sandboxing, and evaluation systems. Diagnose nondeterministic failures, improve reliability and safety, and partner on workload provisioning and deployment across cloud and self-hosted environments. Mentor engineers and establish standards for dependable agentic products.

Owns Retool’s AI monetization, enterprise expansion, and usage-control product strategy. Responsibilities include improving organizational adoption, defining AI pricing and packaging, building metering and billing systems, creating budgets and usage policies, analyzing unit economics, and partnering with engineering, design, finance, sales, and customer success. The role leads projects from customer discovery through launch, adoption measurement, and iteration, with success measured by expansion revenue, AI adoption, predictable customer spending, and sustainable economics.

Own the reliability and quality of AI-powered features in production. Design prompting, retrieval, routing, tool-use strategies, evaluation frameworks, guardrails, fallbacks, and regression detection for non-deterministic systems. Diagnose hallucinations, instruction drift, and context sensitivity while balancing quality, cost, latency, and robustness. Collaborate with product and infrastructure teams to establish quality standards and ship dependable AI products.

Build Retool’s automation platform, including Workflows and Agents, orchestration engines, execution infrastructure, AI integrations, and developer tooling. Design scalable distributed systems, collaborate with product and design, own projects from architecture through launch and iteration, improve platform reliability and performance, work with customers, and mentor engineers.

Own the strategy and roadmap for Retool’s AI platform infrastructure, enabling enterprises to deploy, operate, observe, secure, and scale AI-powered applications and agents. Partner with engineering and enterprise customers on deployment, reliability, access controls, APIs, infrastructure as code, observability, and operational tooling. Lead initiatives from discovery through launch and adoption while making technical tradeoffs and turning recurring customer needs into scalable platform capabilities.

Design and build internal tools and automate workflows to streamline operations, eliminate manual work, and improve efficiency across teams.

The Application Security Engineer will identify security gaps, build tooling, conduct code reviews, and drive vulnerability remediation, ensuring secure product delivery.

As a Software Engineer on the Governance team, you'll build secure system layers, focusing on access controls, policy enforcement, and admin experience, ensuring Retool is trusted for enterprise use.

Build and own full-stack systems for enterprise Retool administration, governance, security, and organization-wide scaling. Develop admin onboarding, projects, permissions, AI cost controls, telemetry pipelines, and multi-instance management features. Work across backend systems, data modeling, product infrastructure, APIs, and customer-facing interfaces while collaborating with engineering, product, design, and security teams. Own technically challenging projects end to end, emphasizing scalability, reliability, testing, code quality, and solving enterprise customer problems.

Lead cross-functional business operations and strategic initiatives at Retool. Partner with executives and business leaders on resource allocation, pricing, prioritization, and operational improvements. Own the company OKR process, including goal-setting, alignment, portfolio tracking, executive reporting, and key-result execution. Support IPO readiness, incubate new functions, and manage high-value initiatives from problem definition through implementation.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

Lead end-to-end UX research initiatives to inform product and design strategy. Plan and run qualitative and quantitative studies, synthesize insights, collaborate with cross-functional teams, and embed research practice across the organization to guide AI-enabled enterprise product decisions.

As a Software Engineer at Retool, you will enhance the core editor's UX, work on application scalability, debug customer issues, and assist in recruiting engineers, all while collaborating closely with product and design teams.

Operate and improve reliability across Retool Cloud, managed, BYOC, and self-hosted deployments. Automate provisioning, upgrades, migrations, and secret rotations. Build observability and safer deployment/rollback workflows, partner with product teams, and produce runbooks, docs, and migration guides to reduce customer toil and scale operations.

Drive architectural design of backend services, ensure security and efficiency, and manage production services on AWS EKS.

As a Software Engineer at Retool, you'll design and manage backend solutions, enhance data accessibility, debug issues, and support a large number of requests while focusing on user-friendly integrations.

As a founding member of the Observability team, you'll build and integrate observability solutions, ensuring system reliability and performance while mentoring others and driving automation.

Commercial Counsel will support sales contracting by negotiating MSAs, DPAs, order forms, and NDAs; lead vendor contract reviews; build legal playbooks, templates, intake workflows, and process documentation; advise Finance, Accounting, Trust, and other teams; monitor AI-related legal developments; and support special legal projects.