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

Lead development and execution of CEO external communications and thought leadership. Ghostwrite long-form pieces, manage media relations and pitches, grow CEO LinkedIn presence, and collaborate cross-functionally to align executive messaging with company strategy and key milestones.

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

Design, build, test, and maintain scalable software systems. Collaborate with cross-functional teams, participate in code reviews, write tests and documentation, troubleshoot production issues, and contribute to product and architecture decisions.

The role involves building and managing scalable distributed systems for Twilio's email platform, mentoring junior members, and improving system performance and security.

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

Drive partner onboarding, manage partner communications and support escalations, maintain program documentation, collaborate cross-functionally on enablement and marketing, execute partner events and webinars, identify operational improvements, and manage project plans to enhance partner experience and program impact.

As a Fullstack Software Engineer, you'll design, build and own the onboarding experience for Twilio's Stytch identity product, creating secure integration solutions for developers and enhancing customer authentication.

Design, build, and maintain GTM data models, automated data quality checks, and BI-as-code pipelines. Deliver sales and executive analytics, visualizations, and partner with cross-functional teams to ensure trusted metrics and drive continuous improvement toward AI-ready reporting.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Own vision, strategy, and roadmap for GTM data products and platforms. Translate business needs into data product requirements, prioritize initiatives, ensure governance and data quality, enable self-service access, track success metrics, drive adoption, training, and cross-functional collaboration to power analytics and decision-making.