Top Engineering Jobs in San Francisco, CA

Build technical foundations, lead engineering and product vision, and deliver end-to-end growth experiments. Use data, customer research, and product intuition to identify opportunities that improve activation and engagement. Develop polished React interfaces, AI and coding-agent systems, and scalable experimentation practices while mentoring engineers and collaborating cross-functionally.

Own and improve Notion’s quote-to-cash business systems across CRM, CPQ, billing, finance, marketing automation, and data warehouse platforms. Build integrations, automation, AI-powered workflows, data models, validation, reconciliation, and monitoring to ensure accurate billing, revenue reporting, forecasting, and pipeline data. Partner with Sales, Deal Desk, Billing Ops, Revenue Accounting, and Data Engineering while establishing strong development, testing, release, access, and documentation practices.

Build and evolve Notion’s developer platform, including APIs, MCP tools, integration infrastructure, and automation capabilities. Develop internal and customer-facing platform functionality, improve product scalability, reliability, and performance, and drive technical investments. Collaborate with product, design, data science, user research, and engineering leadership to define strategy and deliver features end to end.

Build and evolve Notion’s iOS platform, including shared frameworks, architecture, testing, observability, build systems, CI/CD, and release-quality tooling. Partner with mobile AI and core product engineers to reduce development friction, evaluate iOS capabilities, and drive adoption of durable platform APIs and workflows. The role focuses on enabling engineers and AI agents to build, test, debug, and ship reliable mobile features at scale.

Build and polish Notion’s native Android experience using Kotlin and Jetpack Compose. Develop core surfaces such as pages, editing, navigation, Home, Search, and Inbox; improve startup, scrolling, typing latency, reliability, and offline performance; add tests and monitoring; collaborate with product and design; and use AI tools to accelerate development while maintaining quality.

Build and ship features for Notion’s Android and iOS applications during a 12-week internship. Responsibilities include writing clean, secure, tested, and documented code; collaborating with mobile engineers; improving application performance, reliability, and user experience; and potentially optimizing the web stack. Interns work with mentors and cross-functional teammates in a fast-paced environment.

Lead the Data Foundations team in setting strategy, building a high-performing engineering organization, and delivering scalable batch and streaming infrastructure. Responsibilities span data lakes, Kafka and Debezium streaming, distributed computing, governance, reliability, enterprise controls, and cost efficiency. The role requires hands-on technical judgment, multi-quarter initiative leadership, cross-functional collaboration, talent development, and creation of self-service platform capabilities for Data Engineering, Search, AI, Infrastructure, and product teams.

Build and scale database infrastructure that enables customers to use production-grade Postgres without DBA expertise. Lead architecture and roadmap from alpha to general availability, improve query performance, indexing, schema evolution, reliability, permissions, recovery, provisioning, observability, and fleet operations. Partner directly with early customers, contribute across backend and client systems, and provide technical leadership while remaining hands-on.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and platform experiences. Develop internal capabilities and customer-facing functionality that enable integrations, automations, and connected workflows. Own features end to end, collaborate with product and design partners, improve platform performance and reliability, and drive high-leverage technical investments for scalable core systems.

Build and operate foundational event- and data-driven platform systems that enable product features (search, automations, notifications, analytics). Collaborate cross-functionally, own infrastructure and libraries across the stack, monitor and optimize production systems, and create developer-friendly tooling and APIs to accelerate product teams.