Top Technical Program Manager Jobs in Seattle, WA

Senior individual contributor responsible for managing network backbone and fiber connectivity programs supporting new data center markets and sites. Owns program plans, interdependencies, vendor deliverables, contracting, construction, testing, connectivity readiness, and service turn-up. Drives cross-functional accountability across Legal, Finance, Engineering, Operations, and Sourcing while managing risks, capacity constraints, route diversity, and critical-path milestones. Builds scalable intake workflows, tracking systems, milestone frameworks, and portfolio reporting.

Drive technical infrastructure programs spanning data center build-outs, hardware deployments, capacity planning, and operational initiatives. Coordinate Product, Engineering, infrastructure teams, supply chain, facilities, vendors, and networking groups. Own planning, execution, risk management, stakeholder alignment, communication, follow-through, and process improvement to deliver cloud and AI infrastructure reliably and efficiently.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Leads complex technical programs from prioritization and planning through execution and success measurement. Partners with Product and Engineering leaders, aligns stakeholders across teams and locations, manages risks, scope changes, impediments, and conflicts, and drives consensus and continuous process improvement. Promotes scalable program-management practices while ensuring timely delivery of valuable products aligned with company objectives.

Leads execution of an autonomous aircraft demonstration program across engineering, integration, flight test, manufacturing, and operations teams. Coordinates technical planning, subsystem integration, risk mitigation, readiness activities, technical reviews, testing, and executive reporting. Requires deep aerospace or unmanned systems experience and strong systems integration and program leadership skills.

Own portfolio-level technical programs spanning product, engineering, GTM, finance, legal, security, and IT. Lead complex launches, migrations, integrations, monetization initiatives, and enterprise transformations; resolve ambiguity, manage dependencies and risks, influence executives, establish governance mechanisms, measure business impact, and mentor program managers. The role requires driving outcomes across multiple teams and time horizons without formal authority.

Manage and drive execution of X-BAT propulsion development: coordinate engineers, suppliers, test campaigns, and cross-functional teams to meet vehicle milestones, mitigate risks, and ensure flight readiness. Translate technical status for leadership and facilitate reviews, schedules, and integration activities.

Own fleet-wide reliability and operations programs for a rapidly scaling AI cloud infrastructure platform. Establish reliability metrics, dashboards, OKRs, and success criteria; identify systemic gaps across compute, storage, networking, hardware, firmware, software, and operations; and lead cross-functional initiatives that improve fleet readiness, availability, utilization, and stability. Manage dependencies, risks, incident follow-ups, root cause actions, and executive communications while ensuring improvements scale with fleet growth.

Leads complex, cross-functional technical programs across platform services and engineering. Responsibilities include translating strategic priorities into roadmaps, managing dependencies and risks, establishing governance and success metrics, driving executive reporting, resolving systemic execution issues, aligning technical stakeholders, supporting platform adoption, and improving delivery practices across interdependent teams.

Lead complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Apply analytical reasoning, Agile practices, and enterprise-authorized AI capabilities to improve planning, governance, reporting, and risk synthesis. Partner with engineering, product, and business teams to align deliverables with organizational goals, validate AI-assisted outputs, and drive continuous improvement. A development or SRE background and experience leading programs are required; Generative AI development experience is preferred.

Leads complex, cross-functional technical transformation and planning programs across engineering, product, analytics, and other teams. Establishes data-driven operational frameworks, improves software delivery processes, manages risks and dependencies, aligns stakeholders, supports change adoption, and drives continuous improvement across the organization.

Leads large-scale, ambiguous ML platform and infrastructure programs across engineering organizations. Owns program lifecycles, dependencies, roadmaps, technical decisions, reliability, performance, cost optimization, and operational excellence. Uses Python, SQL, dashboards, and automation to analyze systems and guide decisions. Partners with senior engineering and product leaders, drives accountability, mentors junior TPMs and engineers, and improves platform-wide systems and engineering velocity.

Lead re-architecture of a frontend-driven checkout into a composable, server-driven platform. Coordinate cross-functional engineering, product, and business stakeholders to plan, execute, and deliver multiple concurrent programs, define roadmaps and success metrics, manage risks, and drive adoption of platform best practices across regional teams. Communicate status and decisions to senior leadership.

Owns end-to-end delivery of data center network infrastructure, including fabric turn-ups, backbone deployments, and peering expansions. Translates capacity forecasts and architecture into technical program requirements, plans, schedules, and dependencies. Leads cross-functional execution across networking, architecture, supply chain, and data center operations; resolves hardware, optics, cabling, and automation issues; reports risks and KPIs to leadership; and establishes scalable deployment processes.

Lead strategic execution for a 45+ person enterprise data organization to deliver a unified multi-tenant Data Lakehouse. Drive migration from legacy ETL to Snowflake-managed Iceberg on S3, enable secure data sharing and RBAC, scale MLOps and data products, manage cross-domain dependencies, and establish agile operating rhythms with engineering leadership to deliver on-time with zero disruption.

Own complex, ambiguous, cross-functional technical programs from problem definition through launch and retrospective. Establish scope, decision rights, execution plans, dependencies, KPIs, risk management, and delivery readiness across product, engineering, data, operations, and business teams. Serve as a technical peer to engineering, drive stakeholder alignment and decisions, communicate program health, and improve TPM practices. Apply AI tools to automate reporting, identify risks, and improve collaboration across globally distributed teams.

Own complex, multi-team technical programs from inception through sustained operation. Partner with engineering leadership on architecture, integrations, dependencies, requirements, delivery forecasting, and operational excellence. Use AI copilots, automation, and analytics to improve planning, backlog refinement, reporting, risk identification, stakeholder communication, and retrospectives. Mentor TPMs on AI-augmented workflows while maintaining appropriate human oversight.

Lead complex, cross-functional technical programs across the PowerPoint portfolio. Partner with product and engineering teams to define outcomes, schedules, milestones, risks, and communications. Develop scalable playbooks, systems, tooling, and processes; use AI to improve program execution and decision-making. Influence senior stakeholders, drive accountability, prioritize initiatives, and deliver customer-focused product capabilities across Microsoft 365 and Copilot experiences.

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.

Lead large-scale DGX Cloud infrastructure programs, coordinating NVIDIA engineering teams with cloud service and NVIDIA cloud providers. Define compute, storage, networking, GPU capacity, and operational requirements; build roadmaps; manage risks, KPIs, lifecycle processes, and partner engagements. Drive infrastructure bring-up, deployment, availability, maintenance, security, compliance, observability, and continuous improvement across global AI cloud capacity initiatives.

Leads finance reporting modernization and business transformation programs across Finance, Accounting, Engineering, and Operations. Defines program strategy, roadmaps, metrics, and delivery plans; manages dependencies, risks, stakeholders, and adoption. Drives automation, AI-enabled solutions, data governance, reporting standardization, and scalable analytics for forecasting, budgeting, headcount, and financial insights. Builds business cases, influences executives, improves processes, and mentors other technical program managers.

Leads global AI infrastructure deployment acceleration, network readiness, and GPU capacity delivery. Develops repeatable architectures, technical decision frameworks, runbooks, and operating models across data centers and cloud regions. Partners with engineering, platform, and regional operations teams to validate high-performance networks, identify risks, improve deployment sequencing, and reduce cycle times through standardization, automation, and parallel validation.

Embed with strategic customers to lead end-to-end technical programs, aligning business needs with engineering across AI, cloud, and data. Use AI-assisted engineering, engineering tooling, and cross-disciplinary teams to deliver measurable outcomes, scale reusable patterns, and manage risk in ambiguous environments.

Leads UAT and technical program delivery for fraud prevention, abuse controls, policy implementation, and operational readiness. Develops test strategies, validates controls, manages defects, assesses launch readiness, and coordinates post-launch monitoring. Translates fraud risks into requirements, workflows, policies, and monitoring plans while coordinating Product, Engineering, Risk, Operations, Legal, Payments, and other stakeholders. Drives launch decisions, documentation, customer notifications, and cross-functional accountability without direct authority.

Manages regulatory inquiry operations, vendor intake and routing, cross-functional technical programs, process improvements, stakeholder collaboration, and guidance across Microsoft's Trusted Technology Group. Drives response quality, efficiency, and innovation using AI and digital tools while supporting privacy, digital safety, accessibility, resilience, and regulatory engagement initiatives.