Top Engineering Manager Jobs in Seattle, WA

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

Lead and scale the Statsig product engineering organization to deliver experimentation, feature rollout, dynamic configuration, and analytics platform capabilities. Define multi-year strategy, establish operating model and ownership, guide technical direction across frontend/backend/SDK/data/infrastructure, partner cross-functionally, balance adoption with reliability and safety, and build senior leadership bench to integrate Statsig as core product infrastructure at OpenAI.

The Engineering Manager will lead a team of engineers in developing financial infrastructure for nonprofits, focusing on building features like payment tools and ensuring code quality and security compliance.

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.

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

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 one or more full‑stack engineering teams to deliver high‑quality microservices and web services. Drive technical direction, execution, OKRs, mentoring, code quality, and cross‑team collaboration while removing roadblocks and ensuring on‑time delivery. Apply Java/Spring, messaging, cloud, caching, and persistence expertise to scalable, performant solutions and foster an inclusive, Agile culture.

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

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

Lead and develop a software engineering team building an AI-powered litigation product. Manage projects, resource allocation, SDLC and compliance (SOC2), mentor engineers, run hiring and interviews, triage incidents, collaborate cross-functionally, and drive continuous improvement.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead and scale mobile engineering across iOS and Android. Manage teams, drive strategy, ensure quality, and advocate for user experience.

The Mobile Engineering Manager will lead a team in building consumer mobile apps, focusing on quality and performance while collaborating with Product and Design teams.

Lead and grow an engineering team building airgapped, UDS-compatible, cloud-native software. Own delivery of scalable, secure products, mentor engineers, drive CI/CD and infrastructure automation, and coordinate with Product, Growth, and Delivery to meet customer and roadmap objectives.

The Engineering Manager for Smart Signals leads a team, manages execution, and maintains technical depth in backend systems for fraud detection. They shape strategy and coordinate across teams to enhance product quality.

The Technical Engineering Manager leads cross-functional teams to ensure high-quality software delivery, drives technical innovation, mentors engineers, and manages operational efficiency within the banking software sector.

The Engineering Manager will lead a team to develop scalable software solutions, ensuring technical excellence and driving product innovation. Responsibilities include mentoring, overseeing code quality, and collaborating with cross-functional teams.

Lead and grow Revance's digital engineering capability across Salesforce and modern headless web stacks. Hands-on manager who debugs production issues, enforces code quality and standards, manages vendor partnerships, hires and develops engineers, drives technical debt remediation, and owns platform reliability and cross-pod engineering consistency.

The Engineering Manager will lead a fullstack engineering team, ensuring technical excellence, mentoring engineers, and driving product development for ClickUp's flagship products.

Manage and coach a team of engineers on the Gateway or Agent team, ensuring fast decision-making and technical direction while connecting work to company goals and improving team performance.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Lead multiple engineering teams focusing on people management, project delivery, scheduling, risk mitigation, and partnership with Product. Own hiring, performance, staffing, and drive process improvements to ensure quality, on-time feature releases without performing hands-on technical work.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Lead and grow an engineering team (5–10), balancing people leadership with technical credibility. Partner with product to deliver roadmaps, hire and coach engineers, remove blockers, run design/code reviews, and build a healthy team culture focused on shipping impactful data and AI platform work.