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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.

Leads Retool’s legal function, including commercial and vendor contracting, privacy and data protection, AI-related legal matters, corporate governance, employment, intellectual property, financing, and compliance. The role manages the legal team, outside counsel, legal budget, contracting infrastructure, policies, playbooks, and risk reporting while advising executives and partnering with Sales, Finance, Product, Trust, Engineering, and People.

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.