Top Technical Program Manager Jobs in Seattle, WA

Leads complex, cross-functional technical programs across Platform Services Engineering. Translates organizational priorities into roadmaps, manages dependencies and risks, establishes governance and success metrics, drives executive reporting, aligns engineering and product stakeholders, unblocks architectural initiatives, and improves delivery execution across the organization.

Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.

Lead complex technical programs spanning platform and product components. Define long-term strategies, roadmaps, technical objectives, and action plans; translate business needs into prioritized systems problems; influence engineers and architects; manage dependencies, budgets, schedules, forecasting, and end-to-end program lifecycles. Programs may involve agentic platforms, machine learning, enterprise search, conversational AI, reliability, performance, and enterprise readiness.

Leads technical program execution for autonomous aircraft conceptual design and tradespace analysis. Sets objectives from customer use cases, develops cost-performance metrics, manages schedules and budgets, and delivers strategic customer products. Aligns cross-functional stakeholders, translates technical and customer needs into product narratives, conducts market and technology discovery, and makes informed system design and mission utility decisions in defense and aerospace contexts.

Leads complex Agentic AI programs from planning and prototyping through production deployment. Partners with Product, Engineering, AI Research, platform, developer experience, and external partners to coordinate delivery, manage risks, resolve blockers, align stakeholders, and improve program processes. Translates technical AI/ML tradeoffs into decisions and action plans while building scalable operational practices that accelerate reliable delivery of AI capabilities.

Lead security, compliance, and infrastructure reliability programs across engineering. Own quarterly planning, roadmaps, and cross-team execution; identify risks, remove blockers, measure outcomes, and report program status to senior leadership.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Leads end-to-end delivery of hyperscale data center builds and capacity expansions. Owns program plans, schedules, requirements, risks, budgets, KPIs, and executive reporting while coordinating Engineering, Supply Chain, and Data Center Operations. Establishes scalable delivery processes and SLAs, resolves technical and logistical issues, and drives commissioned infrastructure from planning through operational handoff.

Owns fleet-wide reliability and operations programs for a large-scale AI cloud infrastructure environment. Establishes reliability metrics and dashboards, aligns engineering and operations teams on OKRs, identifies systemic infrastructure gaps, leads cross-functional improvement programs, manages dependencies and risks, and drives incident follow-up and corrective actions. Requires strong technical aptitude across compute, storage, networking, hardware, software, and SRE, plus experience managing programs in rapidly scaling cloud or infrastructure environments.

Manage technical programs involving software and hardware deployments across engineering, operations, supply chain, compliance, security, and business teams. Create project plans, schedules, milestones, status reports, and risk mitigation plans. Coordinate migration and upgrade initiatives, support ISO 27001 audit actions, improve program execution processes, and identify AI opportunities to increase efficiency. Apply Agile methodologies while communicating progress and impacts to stakeholders and executives.

Lead complex, cross-functional technical programs for Runpod’s distributed AI cloud platform. Partner with engineering, SRE, product, data, supply, and data center teams to plan delivery, manage dependencies, identify technical risks, support architecture and rollout reviews, define success metrics, and ensure launch readiness. The role requires hands-on distributed systems and cloud infrastructure knowledge, strong communication, quantitative analysis, and experience driving programs from planning through launch.

Leads complex, large-scale technical programs across multiple teams and dependencies. Defines goals, delivery milestones, resources, and critical paths; coordinates stakeholders; drives scalable system design; manages risks and mitigation plans; and improves workflows and operational practices. The role requires strong technical knowledge, communication, analytical problem-solving, and the ability to align cross-functional teams while mentoring others and delivering strategic technology initiatives.

Lead Microsoft Specialized Clouds planning and AI transformation programs. Own planning lifecycle improvements, governance, operating rhythms, dependency management, capacity planning, and execution measurement. Partner with engineering, AI, data, finance, security, compliance, and operations teams to deliver AI-enabled workflows, agentic capabilities, and automation. Drive cross-team alignment, experimentation, adoption, executive communication, and continuous improvement while maintaining security, quality, reliability, and human oversight.

Lead strategic, cross-company technical programs spanning engineering, research, product, and business organizations. Translate emerging technologies and executive direction into actionable initiatives, operating models, roadmaps, governance, and measurable outcomes. Drive decision-making, manage dependencies and risks, establish execution mechanisms, and influence senior stakeholders without direct authority to advance Microsoft’s long-term technology priorities.

Lead technical program management for NVIDIA GPU software, including foundational kernels, drivers, and firmware. Align chipset and product roadmaps with software capacity, coordinate cross-functional dependencies, make prioritization decisions, partner with hardware and release planning teams, improve planning systems, and track execution metrics. The role requires extensive software program management experience and offers opportunities to influence global priorities and long-term process improvements.

Lead technical program management for NVIDIA GPU software, including kernel components, drivers, and firmware. Align chipset and software capacity roadmaps, coordinate cross-functional dependencies, manage priorities, track execution metrics, and improve planning processes. Partner with hardware, release planning, and customers to deliver software products while balancing near-term timelines with long-term capability development.

Lead technical program management for NVIDIA GPU software, including kernel components, drivers, and firmware. Align chipset and product roadmaps with software capacity, coordinate cross-functional dependencies, make prioritization decisions, partner with hardware and customers, improve planning systems, and track execution metrics. The role requires extensive software product delivery experience and supports process improvements across graphics, machine learning, and accelerated computing programs.

Lead large-scale cloud infrastructure programs for NVIDIA DGX Cloud, partnering with cloud service providers and internal engineering teams to bring up global AI capacity. Define technical requirements, roadmaps, milestones, KPIs, and operational processes across compute, storage, networking, and GPU infrastructure. Manage capacity operations, risks, partner alignment, infrastructure deployments, compliance, security, and observability while driving continuous improvement and executive communication.

Leads complex DGX Cloud production engineering programs, coordinating engineering, operations, reliability, and partner teams. Defines program structures, milestones, governance, readiness reviews, risk management, and success criteria. Improves operational rigor, delivery predictability, automation, reliability, and production readiness while communicating status and recommendations to technical and executive stakeholders.

Leads complex technical programs for DGX Cloud infrastructure operations, service health, reliability, operational readiness, and platform availability. Coordinates engineering, operations, and reliability teams; manages plans, dependencies, risks, metrics, issue reviews, and maintenance readiness. Translates telemetry and incident trends into prioritized actions and communicates progress, tradeoffs, and recommendations to technical and executive stakeholders.

Lead strategy and execution for NVIDIA’s DGX Cloud platform infrastructure. The role develops roadmaps, execution plans, operating models, dependency maps, and technical tradeoff recommendations across infrastructure, platform software, and engineering teams. The TPM will align stakeholders, influence decisions without direct authority, connect long-term platform goals to delivery, and improve planning, governance, and execution processes.

Leads integrated execution of a U.S. Air Force aircraft development program from concept development through integration, flight testing, demonstration, and production readiness. Coordinates engineering, manufacturing, supply chain, government stakeholders, and industry partners while managing schedules, budgets, risks, technical dependencies, customer commitments, affordability, and production transition. Provides executive visibility and drives resolution of critical-path issues across aircraft, propulsion, avionics, autonomy, mission systems, and ground systems.

Leads complex, large-scale technical programs across multiple teams and dependencies. Defines goals, stage gates, deliverables, and delivery plans; manages risks, resources, stakeholders, and technical designs. Drives scalable workflows, automation, operational improvements, and cross-functional alignment while communicating program status and mentoring team members. Requires extensive technical program management experience, expertise in system design, cloud infrastructure, APIs, software lifecycle management, and data-driven decision-making.

Leads cross-functional technical program management for Azure cloud hardware server platform development, from concept through launch and deployment. Coordinates engineering, sourcing, supply chain, networking, software, and datacenter teams; establishes plans, milestones, dependencies, and risk mitigation. Partners with technology suppliers, communicates program status to senior leadership, drives technical decisions, and ensures high-quality, on-time product delivery.

Leads large, cross-organizational silicon, systems, and AI programs for Microsoft cloud infrastructure. Responsibilities include developing technical strategies and roadmaps, integrating AI into silicon development workflows, managing governance, risks, schedules, and releases, establishing scalable operating models and metrics, aligning executive stakeholders, and mentoring senior technical program managers. The role also partners with engineering teams to prioritize requirements, improve operational efficiency, and deliver secure, responsible AI capabilities at enterprise scale.