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

Partner with business leaders to drive talent management, performance cycles, organizational design, change management, employee relations, engagement, and people programs. Use people analytics to spot trends, advise managers, and support global workforce planning while contributing to the People Experience team and fostering DEIB and employee development.

As a Mid-Market Account Executive, manage sales from pipeline development to closing deals, focusing on new business acquisition within mid-sized clients. Engage in high-volume prospecting and conduct customer needs analysis to position solutions effectively.

Own the end-to-end design of a product area: strategy, flows, edge cases, and shipped quality. Design comprehensive user flows and self-service experiences, partner closely with PMs and engineers to implement and ship work (including contributing code and fixing UI), steward and extend the Pluma design system, prototype AI interactions, and mentor junior designers.

Lead development and maintenance of Customer.io SDKs across platforms, improve SDK delivery infrastructure (CI, testing, release), partner with product/design, use AI agents to make multi-file code changes, and engage with developer customers to improve experience.

Own the self-serve product experience from signup through activation and upgrade. Identify and remove friction using data, experimentation, and customer insights. Define and track activation, retention, and monetization metrics. Run A/B tests and growth experiments, partner with Marketing, CX, Design, and Engineering to scope and deliver improvements, and communicate priorities and progress across teams and leadership.

As a Senior Software Engineer, you'll design and build distributed systems in Go, collaborate across teams, and ensure performance and reliability at scale.

Lead and develop a team of data scientists and analysts to deliver forecasting, experimentation, behavioral analytics, segmentation, churn and health-score models, and revenue forecasts. Partner with product, marketing, sales, and CX to define metrics, measurement frameworks, and analytics best practices while managing internal analytics platform capabilities.

The role involves owning the email channel's infrastructure, developing frontend experiences, designing backend systems, and ensuring deliverability in a cloud-native environment.

Own the monthly revenue close across subscription, consumption, and hybrid billing. Maintain deferred revenue schedules, flag rev rec implications on deals, partner with Rev Ops/Legal/Deal Desk, prepare audit-ready workpapers, and identify AI-driven automation opportunities to streamline revenue recognition processes.

The Senior Data Scientist will analyze customer data, design experiments, build models, and support data-driven decision-making across product, marketing, and customer experience teams.