Top Engineering Manager Jobs in San Francisco Bay Area, CA

Lead and grow small engineering pods building provider-facing products that improve therapist workflows and scale provider acquisition. Partner cross-functionally to drive product outcomes, mentor engineers, remain a hands-on technical contributor, and shape how AI is used responsibly in clinical tools.

Lead an engineering team owning parts of Headway's insurance platform: design architecture, ensure reliability, co-own roadmap with PMs, run hiring and coaching, manage incidents and on-call, and build integrations, APIs, and tooling that other teams depend on to deliver accurate, real-time insurance answers.

Lead and grow a Data Foundations engineering team building high-throughput, reliable data platforms. Drive architecture and delivery for ingestion, buffering, enrichment, replication, storage, and query layers (ClickHouse, CDC, event streaming), ensure operability across SaaS/Dedicated/Self-Managed/Cells deployments, hire and coach engineers, and collaborate cross-functionally to deliver customer-facing reporting and search capabilities.

Lead the Growth pod owning UX and front-end product engineering as a player-coach. Contribute code initially, then manage sprint planning, delivery tracking, roadmap trade-offs, and architecture decisions. Ship full-stack features (TypeScript front- and back-end), raise engineering craft, grow team capacity through coaching and delegation, and proactively surface risks tied to business goals.

Lead and grow a team of server, web, and full-stack engineers for a business management platform. Remain hands-on: review and contribute code, shape architecture, define roadmaps, set success metrics, remove blockers, and collaborate with product, design, and data science. Drive adoption of AI-enabled tooling to improve engineering velocity and operational efficiency.

The Data Engineering Manager will oversee data engineers, develop data pipelines and ETL processes, and collaborate with cross-functional teams to enhance data architecture and strategy.

Lead and expand a growing engineering team to develop and deliver banking services for enterprise clients, ensuring high-quality software solutions through collaboration and innovation.

Lead the engineering team in developing next-generation ETL features for Databricks Lakeflow. Oversee recruitment, manage technical debt, and ensure high-quality infrastructure services.

Lead the engineering team for product delivery at Runpod, focusing on customer-facing features while managing roadmaps, team growth, quality, and cross-functional collaboration.

Lead and build the Growth & Onboarding engineering team as a hands-on manager. Own onboarding, customization, and benchmarking systems; write code, perform reviews, drive delivery, partner with product, sales, and marketing, establish team rituals and processes, and coach engineers to improve execution and product-facing experience.

Lead and build a new backend-focused Integrations team owning end-to-end connections to EHRs, billing systems, and partner APIs. Act as a player-coach: write code, drive delivery, participate in customer/partner discovery, partner with product, and establish team practices, hiring, and technical direction.

Lead and grow the Frontend Platform team for Ambient AI products, focusing on performance, reliability, and cross-functional collaboration while ensuring high standards for technical execution.

Lead engineering teams at Speak, focusing on AI-driven language learning solutions. Manage engineers, drive technical transformation, and collaborate closely with product and design teams.

The Engineering Manager will lead the development of the Marketplace Platform, managing a team, overseeing platform capabilities, and ensuring quality delivery across integrations while collaborating with product and design teams.

Lead a team focused on AI Cloud Platform development, ensuring feature delivery, scalability, and team growth while collaborating across departments.

Lead and mentor engineering teams, oversee product development and innovation, and ensure alignment with business goals in a SaaS environment.

Manage and grow multiple engineering teams (3–5 direct reports, hire 3–5 more), coach engineers to own large, loosely defined projects, provide feedback on specs, occasionally code/debug in the codebase, and lead department-wide initiatives to improve engineering practices (reviews, interviews, demo data, developer experience).

Lead the Desktop team building Cursor's desktop client: own UI, core features, and client-side architecture. Partner with product, design, and platform to deliver high-performance, reliable developer experiences. Hire and grow fullstack engineering talent, set engineering standards, and drive cross-cutting features like async agents, local↔cloud workflows, and deep product integration.

Lead a small team owning shared backend services (auth, webhooks, SCM integrations, agent backend). Set technical direction, build reliable high-throughput systems, write/review code, partner with product and infra, and hire/mentor engineers to ensure platform reliability and scalability.

Lead and coach engineering teams to deliver roadmap-driven products. Collaborate with cross-functional and executive teams on product strategy, recruit and develop high-performing engineers, own execution and delivery, participate in architecture and implementation discussions, and translate user needs into optimized queries and technical solutions.

Lead and grow an engineering team building stateful, high-scale AI-ready infrastructure for data ingestion, storage, and compute. Drive technical direction, hire and coach engineers, collaborate with product and design, and ensure reliable, performant systems at global scale.

Lead an engineering team to deliver mid-funnel ad products, drive AI initiatives, define technical roadmaps, and maintain team culture.

Lead and grow a core engineering team to build Nuvo's platform, onboarding, infra, and AI-driven products. Own delivery, quality, technical direction, hiring, and team health while partnering with product, design, and GTM to scale the platform to millions of businesses.

The Engineering Manager will lead the Online Data Systems team, focusing on hyperscale database technology and engineering team development, emphasizing reliability and performance.

Lead an engineering team focused on enhancing customer onboarding at Brex. Collaborate cross-functionally to optimize user experiences and deliver AI-driven solutions.