Top Engineering Manager Jobs in San Francisco Bay Area, CA

Own and evolve Hopper’s subledger platform, ensuring accurate, traceable financial transaction recording and reconciliation. Lead and mentor engineers, set technical direction, oversee architecture, and drive scalable abstractions, automation, refactors, and migrations. Partner closely with Finance, Accounting, Payments, Bookings, Post-Booking, and Data teams to translate accounting requirements into reliable system designs. Monitor reconciliation and reliability KPIs, reduce manual effort, and eliminate transaction discrepancies.

Lead engineering strategy and execution for a global B2B enterprise language-learning product. Manage and mentor engineers, oversee mobile, web, and custom integration development, partner with Product and Design, guide AI-powered feature integration, and ensure scalable, secure platforms. The role requires strong full-stack expertise, enterprise product experience, technical leadership, and cross-functional communication.

Leads the engineering team responsible for Airbnb’s globally scalable AirCover insurance platform. Sets technical strategy, architecture, roadmap, and operational standards for configurable insurance products, pricing, enrollment, coverage management, and experimentation. Partners with Product, Data Science, Legal, Insurance, Finance, and Operations to expand across regions and improve attach rates. Manages hiring, mentoring, career development, incident response, and engineering quality while guiding distributed, high-availability backend systems and ML-driven experimentation.

Lead two engineering teams owning Airbnb’s marketing communications platform, including message orchestration, delivery infrastructure, observability, reliability, and AI-native systems. Responsibilities include technical strategy, roadmap execution, engineering management, career development, cross-team prioritization, SLOs, incident management, vendor escalations, and 24/7 on-call operations. The role requires delivering production-grade agentic systems, high-throughput distributed services, large-scale migrations, and reliable messaging across multiple channels.

Leads a high-performing engineering team focused on people management, strategic execution, hiring, coaching, and delivery of core services and systems. The role sets priorities, manages performance, guides technical direction, addresses system and process risks, and partners cross-functionally to deliver business value. Responsibilities include managing employees and contractors, overseeing software development lifecycle execution, fostering psychological safety, improving operational excellence, and guiding teams through ambiguity and organizational change.

Lead a team of five engineers responsible for modernizing job ingestion pipelines, data stores, data access, data quality, and fraud detection systems. Partner with product managers, data scientists, and engineering stakeholders to prioritize scalable, real-time data initiatives. Improve the handling of messy user-generated and third-party data while ensuring performance, maintainability, security, and personalization capabilities across ZipRecruiter’s job marketplace.

Engineering Manager responsible for leading and developing a team of engineers while balancing technical leadership, execution, and people management. The role involves improving productivity and reliability, shaping technical roadmaps with product and design partners, setting team objectives, leading hiring and retention, and delivering complex web applications and services. The manager will also mentor engineers, support career growth, and make strategic decisions in a fast-paced environment.

Leads and develops engineering teams in a player/coach role, balancing technical leadership, execution, and people management. Responsibilities include improving team productivity and reliability, shaping technical roadmaps with product and design partners, setting objectives, representing the team in engineering initiatives, and leading hiring, development, and retention. The role requires system design expertise, proficiency in a general-purpose programming language, experience delivering complex web applications and services, and adaptability across technical systems.

Lead the POS Payments Experience engineering team, delivering reliable Android and web-based payment products. Drive planning, cross-team execution, technical direction, architecture, quality, monitoring, and production issue resolution. Partner with product and UX leaders, hire and develop engineers, and champion AI-assisted development practices.

Lead Atlassian’s TDP SQL engineering team, owning people leadership, platform strategy, roadmap execution, reliability, security, compliance, incident response, technical direction, cross-functional dependencies, infrastructure economics, and operational outcomes. Build a high-performing organization and evolve a scalable managed relational database platform across multiple cloud environments while supporting enterprise requirements such as data residency, encryption, disaster recovery, and tenant isolation.

Lead a team of 4–6 engineers while spending 50–60% of your time building production systems. Own delivery, technical design, code quality, hiring, mentoring, and performance management. You’ll develop AI and agent products, integrate fragmented on-premise systems, improve scalability and caching, debug complex production issues, and collaborate directly with founders and customers. The role requires strong backend or full-stack engineering experience, cloud and distributed-systems expertise, and a willingness to work in person in San Francisco when based in the Bay Area.

Lead and grow a global team of Go developers building Kubernetes operators and automation for server fleet provisioning and lifecycle management. Set technical direction, prioritize work, and collaborate with hardware, fleet operations, and infrastructure teams. Establish onboarding, documentation, enablement, performance management, testing, deployment automation, observability, incident management, and reliability practices for large-scale fleet services.

Lead and mentor software engineering teams across multiple product pods. Provide technical direction, oversee production services and operational readiness, manage on-call and incident response, support hiring and career development, and drive cross-functional planning and delivery. The role requires strong people-management experience, technical judgment, production-service expertise, and the ability to work asynchronously in a distributed startup environment.

Leads and grows a mobile design engineering team responsible for scalable frameworks, design systems, and high-quality mobile experiences across iOS, Android, and responsive web. Partners with design, product, and engineering leadership to set technical strategy, oversee complex UI architecture, guide code reviews, improve accessibility and performance, and establish mobile-first development practices. Balances people management with hands-on technical leadership and architectural guidance.

Leads the open-source Ray Data engineering team, setting technical direction, managing the roadmap, driving project execution, and hiring and mentoring engineers. The role remains hands-on with design and code reviews, performance and stability investigations, production escalations, and distributed systems development. It also involves open-source community leadership, cross-team collaboration, customer engagement, release quality, and communication through technical content and events.

Lead Retool’s Automation engineering team building workflows, integrations, and AI-driven agents. Set technical strategy, guide architecture for execution infrastructure and reliability, partner with Product, Design, customers, and go-to-market teams, and drive delivery from scoping through launch. Coach engineers, manage performance, recruit talent, and establish processes that improve collaboration, maintainability, and customer impact.

Lead and mentor an engineering team building large-scale AI infrastructure. Partner with product, machine learning, QA, and sales teams on roadmaps, architecture, development, experimentation, and deployment. Drive product milestones, feature delivery, quality metrics, security practices, risk management, recruiting, interviewing, and onboarding. Contribute to technical design and support engineers’ growth while maintaining information-security and data-handling standards.

Lead and scale an engineering team from 10 to 20+ members while remaining hands-on with architecture and development. Own scalable systems across AI, infrastructure, and cloud services; collaborate cross-functionally on execution; hire, mentor, and develop engineers; and shape engineering culture, tooling, and practices in an onsite San Francisco startup environment.

Leads an engineering team delivering Quoting, Catalog Management, and go-to-market technology. Oversees technical decisions, delivery planning, code reviews, quality assurance, release planning, incident resolution, stakeholder collaboration, and team development. Partners with Sales, Product, RevOps, and Data Analytics leaders while driving scalable solutions across Salesforce CPQ, Product Catalog, and related systems. Champions AI-assisted development and contributes to complex architecture and implementation efforts.

Leads a hands-on engineering team developing AI-powered product features. Sets technical strategy, reviews system designs, contributes code, manages and develops engineers, maintains quality standards, and recruits engineering talent. The role requires strong TypeScript, front-end, database, and recent AI software development experience, along with management experience in a rapidly growing company.

Leads and develops a team of GTM engineers building AI agents, workflows, integrations, and internal infrastructure for marketing, sales, and customer success. Establishes engineering standards, documentation, review, ownership, and rollback practices; partners on roadmap planning; manages technical vendor relationships; and coordinates transitions from prototypes to long-term engineering ownership. The role remains hands-on while hiring, mentoring, and improving team operations in a fully remote environment.

Leads software engineering teams responsible for designing, developing, and delivering high-quality solutions for CMS Hospital Quality Reporting systems. Manages hiring, performance, coaching, team development, resource planning, engineering standards, architectural decisions, code reviews, and delivery processes. Collaborates with Product Managers to align engineering work with product goals while fostering technical excellence, continuous improvement, and an inclusive remote-first culture.

Leads engineering for Buffer’s Growth area across acquisition, activation, and retention. Coaches engineers, shapes priorities with Product, Design, Marketing, and Data, guides technical decisions, connects customer insights to measurement, supports AI-enabled development, and contributes to hiring and engineering practices. The role requires strong technical judgment, product-growth understanding, clear communication, and experience helping engineers develop in a distributed environment.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.