Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The RVP of Retail Field Sales oversees District Sales Managers and Territory Account Executives, driving sales performance, team development, and revenue goals in the retail sector.

The GTM Engineer will automate sales workflows using tools, build integrations, design a win/loss analysis program, and collaborate with sales teams to leverage AI insights.

As a Senior Fullstack Engineer, you'll contribute to backend development for Toast's New Ventures team, collaborating on architecture and launching MVPs while addressing unmet operator needs.

Own and run the monthly release program for Toast IQ: set platform-readiness standards, manage technical dependencies and risk, coordinate cross-functional go-to-market and naming, instrument launch health and reporting, and establish governance and rhythms that scale multi-team agent launches.

As a Staff Software Engineer, you will define technical strategy for Drive-Thru solutions, standardize Android practices, and ensure seamless integration between mobile clients and backend services while mentoring peers.

The Principal People Success Partner drives talent strategies for Sales and Marketing, partners with senior leaders, influences organizational health, and leads transformations using AI.

The Staff Software Engineer will architect and develop high-performance cloud services, resolve infrastructure bottlenecks, ensure engineering best practices, and mentor junior members.

Develop and deliver production-ready web experiences for marketing using React, Gatsby, and Tailwind. Build API integrations, maintain a lightweight codebase and design-system components, ensure accessibility, performance, SEO, and multi-region support, participate in code reviews, and help shape tooling and best practices across the team.

Lead strategy and execution for enterprise and mid-market GTM across multi-unit restaurant brands. Drive C-suite engagements, modernize sales motions, scale AI-powered forecasting, partner with Product/Engineering, and represent Toast in industry forums to win large, complex contracts.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.