Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead Retool’s Automation engineering team building workflows, integrations, and AI-driven agents. Set technical strategy, guide architecture for execution infrastructure and reliable automation systems, partner with Product and Design on roadmaps, and translate customer needs into scalable capabilities. Drive delivery, reliability, and cross-team collaboration while coaching engineers, managing performance, recruiting talent, and shaping trustworthy AI automation with human oversight and strong observability.

Lead Retool’s Enterprise Platform engineering team, building scalable capabilities for enterprise deployment, permissions, auditability, administration, integrations, AI agents, and autonomous workflows. Set technical strategy, guide architecture, drive execution, partner with customers and cross-functional teams, and coach and grow engineers. Balance customer needs, security, reliability, delivery speed, and long-term maintainability while building reusable platform foundations.

Own Retool’s product strategy and roadmap for AI expansion, monetization, and enterprise controls. Drive onboarding, adoption, usage-based billing, metering, spend controls, usage policies, pricing, and upgrade paths. Partner with engineering, design, data, finance, sales, and customer success to launch and measure technically complex products that increase organizational adoption, improve spend predictability, and support sustainable unit economics.

Build the systems powering Retool Workflows and Agents, including 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 directly with customers, and contribute to technical direction, mentoring, and hiring.

Define the strategy and roadmap for Retool’s enterprise AI platform infrastructure. Lead products for deployment, observability, access controls, audit logging, APIs, infrastructure as code, and MCP. Partner with engineering and enterprise platform leaders to address reliability, security, scalability, isolation, cost, and operational challenges for AI agents and applications. Drive initiatives from customer discovery through launch, adoption, and iteration while translating recurring customer needs into scalable platform capabilities.

Build and own enterprise-scale systems for Retool customers, spanning full-stack web development, backend infrastructure, data pipelines, administration, permissions, AI cost controls, and multi-instance management. Lead technically challenging projects from design through delivery, emphasizing reliability, scalability, security, testing, and customer-focused solutions. Collaborate with engineering, product, design, and security teams to make enterprise governance configurable and easy to manage.

Lead Retool’s Business Operations function by partnering with executives and cross-functional leaders on strategic decisions, resource allocation, pricing, prioritization, and IPO readiness. Own the company-wide OKR process, facilitate alignment, track initiatives and risks, drive key results, and incubate new functions and teams. The role requires strong analytical problem-solving, communication, organization, adaptability, and end-to-end project execution in a rapidly growing technology company.

Lead full-cycle technical recruiting for engineering roles: source and build pipelines, partner with hiring managers, use metrics to assess pipeline health, drive hiring decisions, create strong candidate experiences, and contribute to diverse, scalable hiring processes at a high-growth company.

Lead end-to-end UX research to inform product and design strategy for an enterprise SaaS platform. Plan and run qualitative and quantitative studies, synthesize insights, and communicate findings to cross-functional stakeholders. Shape research practice, prioritize knowledge gaps, and triangulate data from usage, support, and market signals to drive AI-enabled product decisions.

Lead cross-functional business operations initiatives: partner with executives, scope and run projects end-to-end, analyze data to produce executive recommendations, run recurring operating processes (OKRs, planning), support launches and cross-functional programs, and produce market and competitive analyses to inform strategy and prioritization.