Top Engineering Manager Jobs in Portland, OR

Lead and grow engineering teams to improve delivery velocity, remove cross-functional friction, introduce lightweight processes, prevent burnout, and contribute to architecture while hiring and developing engineers.

Manage a team of engineers building Docker's runtime for AI workloads, oversee technical direction, and ensure operational excellence in cross-platform environments.

Lead a team responsible for payments and finance development, focusing on API integrations, security compliance, and team productivity improvements.

Lead and grow a senior engineering team building dashboards, notebooks, visualizations, and AI-assisted investigative tools. Partner with Product to drive roadmap and delivery, shape technical direction with staff+ engineers, mentor engineers, and ensure performance and scalability of analytical surfaces at enterprise scale.

Lead and mentor a distributed team building a realtime, cross-platform renderer. Drive delivery, technical strategy, and engineering practices; collaborate with R&D, product, and integrations to turn neural-rendering research into production-quality, high-performance rendering across web, mobile, desktop, and headset platforms.

Lead, mentor, and grow a software engineering team to deliver high-quality, scalable microservice-based solutions. Manage Agile processes, collaborate with Product, enforce engineering best practices, and drive continuous improvement in architecture, quality, and team performance. Participate in hiring, backlog planning, and drive measurable improvements in engineering execution.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

Lead North America execution of AI-first SDLC transformation and quality platforms for a multi-tenant SaaS identity product. Define system validation and quality platform strategy, enable agentic quality workflows, drive shift-left developer-owned testing, own CI/CD quality gates and telemetry, improve production readiness and release confidence, and hire and coach senior technical contributors while partnering across Dev, SRE, DevTools, Product, and AI teams.

Lead and grow an engineering team that designs, builds, and operates hyperscale distributed systems and cloud-native platform services for Azure. Drive technical strategy, architecture, cross-team initiatives, operational excellence, and stakeholder collaboration to deliver scalable, reliable, secure, and observable infrastructure solutions.

Lead and grow a software engineering team to design, build, and operate high-performance, scalable, observable networking systems for Azure AI/HPC infrastructure. Drive architecture, reliability, testing, automation, and cross-team collaboration to support large-scale distributed training and inference workloads.

Lead and mentor engineering teams in developing a SaaS solution for dental practice management, focusing on system architecture, code quality, and integrating AI tools.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Lead and mentor the Activations engineering team to deliver integrations and workflows that get new banking clients to production. Balance hands-on coding, system design, code reviews, and product partnership while ensuring reliability, scalability, and high-quality backend services and APIs.

Lead and grow an engineering team building SELECT, a cloud cost management platform. Drive technical strategy, architecture, development practices, reliability, and cross-functional execution. Mentor engineers, manage performance and hiring, and improve delivery processes to scale the product and organization.

Lead and manage a team developing the Aerospike Cloud Platform, focusing on architecture, execution, and fostering a high-performance engineering culture.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Lead and grow a software engineering team to design, build, and operate large-scale distributed cloud services that automate infrastructure maintenance, improve reliability, and support GPU-based AI platforms. Drive technical vision, partner across engineering and operations, modernize platforms, and use data-driven decisions to improve availability, performance, and operational efficiency at global scale.

Lead and mentor a team of full‑stack/backend engineers building integrations, identity verification, SSO, account opening, funding/ACH pipelines, and a public API platform. Drive architecture and delivery, champion quality and reliability, partner with Product and Implementation on roadmap and escalations, and remain hands‑on to guide technical decisions and ship production software.

Lead and coach Quality Engineers and SDETs across product teams to implement risk-based exploratory testing and automation, align quality activities with delivery goals, partner on automation architecture and observability, manage workflows and incident response, report on risk and coverage, and mentor technical and strategic skills while promoting responsible AI-assisted testing practices.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Lead a ~10-engineer team to build and modernize cloud-native SaaS for marinas. Stay hands-on with Node.js/React/TypeScript code, drive architecture and migrations, enforce testing/observability/CI-CD, run incident response, recruit and coach engineers, and implement AI-assisted development practices aligned to product goals.

Lead and grow a ~10-engineer team building and modernizing cloud-native SaaS for RV and camping operators. Drive architecture, CI/CD, reliability, AI-assisted engineering practices, migrations from legacy to service-oriented systems, incident response, and measurable engineering KPIs while remaining technically hands-on.

Lead creation of a Site Reliability (SRE) function: hire a 4–6 person team, implement incident management and on-call programs, define SLOs/SLA and runbooks, select incident tooling, and drive observability and reliability initiatives. Balance incident response with a roadmap of reliability work, mentor and retain engineers, run blameless retrospectives and design/code review practices, and collaborate with product and engineering leaders to improve operational excellence.