Top Remote Engineering Manager Jobs in Seattle, WA

The Engineering Manager will oversee the Backend Platforms team, managing engineering talent, shaping strategies, ensuring platform reliability and performance, and guiding architectural decisions across multiple workstreams.

Lead a full-stack engineering team for core Enterprise product development, balancing management with technical contributions in a remote-first setting.

Lead and grow a hands-on Maps & Search engineering team owning home search across web and mobile. Set technical direction, contribute to code, and scale a high-throughput search platform (~1B monthly requests). Improve relevance, latency, and reliability, integrate AI/LLMs into discovery and ranking, and drive delivery from roadmap through incidents and production operations.

Lead and grow a frontend platform team owning Zocdoc's accessible React component library and design system. Define roadmap and technical strategy, drive adoption across web and mobile, institutionalize accessibility and quality, mentor engineers, partner with UX/Product/Analytics, and deliver platform improvements that speed frontend and mobile development.

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.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

Lead and mentor a team building LeafLink’s eCommerce marketplace. Provide technical leadership, set architecture and delivery plans, coordinate cross-team dependencies, manage incidents, recruit talent, and balance product delivery with platform health, scalability, security, and developer productivity.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Lead and grow a small software engineering team building MongoDB's distributed query engine. Mentor engineers, contribute code, guide architecture and feature design, remove blockers, coordinate dependencies, plan hiring and resources, estimate delivery timelines, and set team culture to deliver new query features and performance improvements.

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

Lead and grow a Targeted Collection Engineering team to design, build, and operate scalable data collection and warehousing systems. Own a managed attribution browser, set technical strategy, partner with product and cross-functional teams, and ensure data reliability, security, and scale for national security customers.

Lead and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

Lead and grow a full-stack engineering team to deliver fundraising-focused frontend features. Hands-on manager who ships code, reviews PRs, shapes architecture, improves engineering practices, mentors engineers, and ensures product quality, performance, security, and accessibility while aligning frontend strategy with company objectives.

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.

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.

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.

Lead a team of engineers in building AI-native music experiences, ensuring quality delivery, managing sprint execution, and developing team skills.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.