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

Leads global onboarding operations by building governance frameworks, SOPs, SLAs, workflows, and automation. Analyzes operational telemetry and activation metrics, partners with Product and Engineering on platform controls, translates technical changes for operations teams, manages escalations, documents processes, and mentors staff. The role requires strong data fluency, cross-functional program execution, and experience operating in ambiguous, regulated technology environments.

Drive prospecting, consultative solution selling, and closing for Twilio’s new products across enterprise accounts. Build strategic customer relationships, validate sales motions and use cases, manage complex multi-product deals, develop territory strategies, and collaborate with product, finance, legal, marketing, and engineering teams. Maintain accurate Salesforce pipeline and forecasts while serving as a customer advocate and technical subject matter expert.

Develop and execute executive communications strategy for Twilio’s Chief Product and Technology Officer. Write keynotes, presentations, blogs, press materials, social content, and internal communications; drive thought leadership and change-management initiatives; and represent R&D innovation to employees, customers, investors, media, and analysts. Partner with product marketing, corporate communications, R&D leadership, and cross-functional teams to strengthen the CPTO’s voice and Twilio’s innovation narrative.

Engage high-value self-service customers, identify growth and retention opportunities, guide product adoption, qualify inbound and outbound leads, and collaborate with Sales, Solutions Engineering, Marketing, and Product teams. The role manages a high-volume account book and helps customers scale Twilio Communications, SendGrid, or Segment products.

Lead product strategy and development for Twilio’s identity platform, including authentication, authorization, and emerging human and non-human identity use cases. Partner with product, engineering, design, and go-to-market teams to define roadmaps, translate customer needs into capabilities, author product requirements, and deliver developer-focused experiences. The role requires strong technical and analytical judgment, comfort with ambiguity, and deep product ownership.

This Machine Learning Engineer L2 position is an incomplete job requisition template. It does not provide specific responsibilities, qualifications, technologies, education requirements, or measurable role details. The position is described as remote-first at Twilio, with occasional travel potentially required for team or project meetings.

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.

Leads engineering teams responsible for Twilio’s Porting, Hosting, and A2P Messaging products. Owns roadmap delivery, architecture collaboration, reliability, incident response, security, AI-assisted development, stakeholder alignment, and operational tooling. Recruits, develops, and retains a high-performing engineering organization while balancing customer commitments, platform needs, and operational investments.

Lead marketing strategy, analytics, and GTM operations for Twilio.org’s Social Impact team. Build investment proposals, ROI models, attribution frameworks, account-tiering logic, automated marketing triggers, executive scorecards, and pipeline-generation programs. Partner with marketing and data science leaders to optimize budgets, campaigns, routing, and commercial performance. Maintain Looker, Tableau, Salesforce, and analytics infrastructure while modernizing SQL-based reporting and data quality processes.

Gather and translate Talent Acquisition requirements into technical specifications, configure and implement recruiting technology solutions, and lead system, integration, and UAT testing. Support platforms including Workday, Eightfold, Greenhouse, LinkedIn, HireRight, and HackerRank. Analyze workflows, troubleshoot issues, manage defects, support audits and SOX controls, document solutions, and provide training and post-implementation support to global TA stakeholders.