Top Senior Engineering Manager Jobs in San Francisco Bay Area, CA

Nourish seeks an Engineering Manager to lead engineering teams, drive technical direction, and contribute to system design, focusing on scalable solutions.

As an Engineering Manager, you will lead the Email team, developing core infrastructure for email delivery while managing team performance and engineering challenges.

Lead strategy, roadmap, and delivery for real-time fraud detection and client-facing risk products. Hire and develop engineering managers and senior ICs, own architecture and reliability, collaborate across PM, data, SRE, security, and business teams, and drive operational excellence for high-throughput, low-latency systems.

Lead and define a 1-3 year technical roadmap for a petabyte-scale realtime data platform. Modernize core data infrastructure, enable realtime analytics and AI-driven features, scale and structure engineering teams, hire and mentor managers and senior ICs, and partner with product and engineering teams to deliver governed, performant data and AI capabilities.

As an Engineering Manager, you'll lead a full-stack team focused on enhancing buyer experiences, managing post-purchase issues, and improving seller support systems. You will drive technical strategy and outcomes across the buyer experience, collaborating closely with Product and Design teams.

The Engineering Manager will lead the Issuing product development, drive technical roadmap execution, mentor a high-performing team, and ensure best engineering practices to deliver exceptional client-focused solutions.

Lead the Coda AI team, driving the development of AI capabilities in collaborative workspaces, while managing a team of engineers and influencing product direction.

The Engineering Manager will lead a team of engineers, drive product features for enterprises, and work closely with sales and marketing to enhance growth.

The Engineering Manager, Identity will lead the team in delivering identity features, modernizing the identity stack, managing a team of engineers, and ensuring operational excellence.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead a team of engineers to improve search quality and ranking within Notion's platform, focusing on algorithms and user experience. Responsible for project execution and fostering team growth.

Lead and grow a backend engineering team building communications infrastructure: document generation, PDF templating, and multi-channel notifications (email, SMS, mail). Own architecture, integrations with providers (SendGrid, Twilio, Lob), delivery reliability, observability, compliance/audit trails, and template onboarding. Act as player/coach contributing ~20% coding while driving roadmap, operations, and cross-functional collaboration.

Lead and grow an engineering team focused on provider growth. Partner with Product, Design, Marketing, and Data to build systems for acquisition, experimentation (A/B testing), AI-assisted experiences, lead capture/scoring/routing, and scale infrastructure while remaining an active technical contributor and mentor.

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 mentor a team of engineers in Linux Kernel and systems development, overseeing delivery, debugging, and team performance.

As an Engineering Manager, you will mentor junior developers, recruit senior talent, and align engineering efforts with product goals in a collaborative healthcare environment.

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 the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Lead and mentor a team of engineers to build scalable systems for subscriptions, manage project timelines, and collaborate across teams.

Lead an engineering team focused on experimentation to improve conversion, retention, and LTV. Coach engineers, shape an experimentation roadmap, ensure rigorous instrumentation and testing, guide the experimentation platform, partner cross-functionally to tie tests to business outcomes, and hire and develop engineering talent with AI fluency.

Lead strategy, roadmap, and delivery of realtime fraud detection and client-facing risk products. Shape architecture, ensure reliability and scalability, hire and develop engineering managers and senior ICs, partner with PM/Design/Ops, enforce code and design quality, own incident response and operational excellence, and drive cross-team collaboration to improve detection, reduce false positives, and minimize chargebacks.

Lead engineering efforts for KYC automation and onboarding systems. Design and maintain scalable automation, implement AI/data-driven risk detection, collaborate with product, ops, and compliance, participate in architecture and code reviews, improve reliability and performance, and mentor junior engineers.

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.