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

Manage and execute field events to drive pipeline and support sales efforts, leveraging insights to create impactful customer experiences and align with marketing objectives.

Serve as the primary finance partner to GTM (Marketing, Sales, CX) leadership to drive planning, forecasting, reporting, and ROI-focused decision-making. Build LTV/CAC and payback frameworks, prepare executive and board materials, partner with Accounting on timely reporting, and drive AI/automation process improvements to increase planning discipline and forecasting accuracy.

As the first Developer Advocate, you will connect the developer community with Notion's teams, create engaging content, manage developer channels, and strategize for community engagement at events.

As a core engineer on the Web Infrastructure team, you will enhance Notion's web client performance and development speed by improving load times, interaction latency, and providing tooling for product engineers.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

The role focuses on financial reporting, forecasting, and analytics, supporting CFO decisions and enhancing financial processes through collaboration and automation.

As Enterprise Product Manager at Notion, define enterprise adoption strategies, work on product development, and ensure seamless user experience while collaborating across teams.

The Services Engagement Manager will lead pre-sales and post-sales engagements, transforming workflows, driving adoption, and maximizing client value for Notion's services. Responsibilities include coordinating implementation strategies and cross-functional stakeholder management.

Lead a platform engineering team that builds and operates Notion's search and context infrastructure (lexical and semantic retrieval, indexing, streaming/batch pipelines, and agent context primitives). Set roadmap balancing foundational investments (latency, cost, reliability, security, enterprise readiness) and fast iteration, own SLOs/observability/on-call practices, partner with product and AI teams, hire and grow engineers, and drive platform reliability and scalability at scale.

Own end-to-end recruiting analytics: build trusted dashboards and pipelines (funnel, conversion, time-to-fill, capacity), create headcount and velocity models, define core metrics, drive pipeline reviews with actionable recommendations, partner with Recruiting and Finance to remove bottlenecks, and use AI to accelerate analysis and QA.