Top Engineering Manager Jobs in San Francisco Bay Area, CA

Lead the UI Platform team to enhance reliability, performance, and developer experience for Claude.ai's consumer products, while managing and growing the team and improving tooling and systems.

Lead a team of engineers to build software for hospitals and patients, make architectural decisions, coach engineers, and manage complex technical projects.

The Engineering Lead will manage a small team, drive technical decisions, contribute code, and shape product strategy at AngelList.

Lead a team of engineers, shaping product decisions, driving technical strategy, and empowering high-impact project execution while recruiting top talent.

Lead a multidisciplinary team building data ingestion, distributed computation, and a stats engine for experimentation. Set technical and scientific strategy, translate statistical methods into scalable production systems, evolve architecture for complex experiment designs, and engage customers to inform platform improvements.

Lead and mentor a backend engineering team building Snap Map backend services and data infrastructure. Set strategy and roadmap, collaborate with product, data science, and ops, evaluate technical tradeoffs, hire and retain talent, and use AI tools and high-velocity workflows to design and ship scalable, production-ready distributed systems.

Lead and grow the Online Storage team; own reliability, disaster recovery, and scalability for core storage systems (Aurora, ElastiCache/MemoryDB, DynamoDB, S3, OpenSearch). Set technical direction for unified search and permissions consolidation, run multi-cell scalability, partner with product teams as an internal platform, and ensure operational excellence including on-call, incident response, and observability.

Lead and grow a small engineering team (up to 8), coach engineers, own execution of product roadmap, participate in architecture and code reviews, improve engineering processes and developer experience, and drive high-quality delivery with strong technical judgment and AI-focused product thinking.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

Lead and grow engineering teams building AI-powered automation (especially LLM/Agentic AI) for compliance. Drive architecture, scalable multi-tenant systems, cloud-based engineering, cross-functional roadmaps, hiring, code quality, incident response, and delivery of high-impact AI/ML products.

Lead the Customer & Application team, manage engineers, coordinate development efforts, drive Agile processes, and mentor team members for continuous improvement.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

The Engineering Manager will lead a team, engage in code architecture, drive technical decisions, manage hiring, and develop engineers in a fast-paced environment.

Lead and scale engineering teams, manage engineering operations, and collaborate on product strategies while maintaining a high-performance culture.

Lead and mentor a team of engineers, develop R&D strategies, set engineering culture, and ensure impactful business outcomes through innovative processes.

Lead and grow the Delivery and SDK team building global evaluation and feature-delivery systems and 30+ polyglot SDKs. Define technical strategy for highly available, low-latency distributed systems, improve SDK ergonomics and reliability, expand platform coverage, establish cross-platform architecture and quality standards, and partner with product, infrastructure, and customer teams to solve integration challenges and shape the developer platform roadmap.

Lead and grow a cross-functional engineering team building backend and mobile fleet products. Set technical vision and product strategy, prioritize technical investments, mentor engineers, hire diverse talent, ensure scalable, highly-available delivery, and collaborate with Product, Design, Science, and Operations to drive business impact.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Lead and manage a team of data engineers to design, build, and maintain automated, maintainable ETL pipelines and data architecture. Collaborate with product, analytics, and ML teams, participate in strategy and execution, mentor engineers, and deliver end-to-end data projects while applying engineering best practices and ML/AI deployment awareness.

Lead and scale an engineering team owning Premium subscription and monetization experiences (paywalls, checkout, plan management, renewals, cancellations). Drive technical execution, build reliable customer-facing purchase and plan lifecycle flows, partner with Product and Data Science to run experiments, and collaborate with FinEng, Design, Finance, Legal, Support, and Marketing to improve conversion, retention, ARPU, and lifetime value.

Manage engineering efforts to improve AI model performance, oversee project execution, and guide team members in a dynamic environment.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

The Engineering Manager will drive the growth of the engineering team, overseeing product development, architectural decisions, and integration of emerging technologies in web3.

Lead the Engineering team responsible for the API, focusing on platform strategy, team growth, and cross-functional collaboration to enhance product development and API performance.

The Engineering Manager for Data Products will lead a team of engineers in building data analysis products, ensuring high-quality delivery, and fostering collaboration in a remote work environment.