Top Technical Program Manager Jobs in Seattle, WA

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.

Lead complex, end-to-end technical programs across product, engineering, data, and security teams. Translate strategic priorities into roadmaps, manage risks and dependencies, coordinate distributed teams, and align executive stakeholders. Drive AI platform, data, infrastructure, security, reliability, and enterprise adoption initiatives from inception through launch and continuous improvement while ensuring predictable execution and transparent communication.

Owns the strategy and execution of eDiscovery and information governance programs across business functions and enterprise platforms. Partners with engineering teams to improve EDRM capabilities, translates regulatory requirements into system controls, manages roadmaps, dependencies, risks, and audit documentation, and validates compliance tooling through comprehensive testing. The role also identifies automation opportunities, responsibly applies generative AI and workflow tools, and drives organizational adoption.

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 large cross-functional vision system programs integrating hardware, ML, platform, and product teams. Scope and deliver projects, align internal/external partners, translate customer needs into requirements, troubleshoot field systems, evaluate tradeoffs, mitigate risks, and communicate strategy to technical and non-technical stakeholders to scale vision solutions.

Lead strategic investments across Azure Monitor telemetry onboarding, collection, routing, governance, and lifecycle management. Drive cross-team initiatives from concept through launch, translate customer and operational insights into prioritized work, engage with strategic customers, define measurable outcomes, and influence architecture, roadmap, and adoption to improve observability at cloud scale.

Drives Fabric quality Rhythm of Business, governance, operational excellence, and cross-organizational execution. Establishes review cadences, reporting, metrics, and accountability mechanisms; translates service health objectives into actionable programs; identifies quality gaps and operational inefficiencies; and uses telemetry, automation, data, and AI-assisted capabilities to improve reliability, prioritization, and decision-making across engineering and operations teams.

Oversee high-visibility technical programs, streamline processes for product development, coordinate across teams, evaluate risks, and communicate with stakeholders.

Lead cross-functional technical programs that apply AI, prompt engineering, and agent workflows to improve web operations, content publishing, and digital experiences. Partner with marketing, design, product, and engineering teams to scale platforms, enable self-service authoring in AEM, manage dependencies and risks, support API-driven experiences, and measure program adoption and performance.

Lead strategy and multi-year roadmap for Azure Monitor data collection, telemetry pipeline, and configuration platforms. Translate customer needs into prioritized investments, shape architecture with engineering, and drive cross-team initiatives to simplify onboarding, configuration, routing, and governance of telemetry across cloud, hybrid, multicloud, and edge. Align execution across product, design, support, and field teams, engage strategic customers, define success metrics for adoption and reliability, and influence platform capabilities at cloud scale.

Lead the introduction and deployment of new Azure cloud services, hardware platforms, and infrastructure capabilities. Manage cross-functional technical programs from requirements through launch, coordinating engineering, hardware, datacenter, and deployment teams. Analyze data to improve capacity deployment predictability, quality, scalability, and time-to-market. Drive risk mitigation, process improvements, production readiness, and partner alignment across Microsoft.

Leads cross-functional technical program management for new cloud hardware development and data center infrastructure launches. Responsibilities include creating plans of record, coordinating hardware and software engineering, sourcing, supply chain, networking, and operations teams, managing milestones and dependencies, identifying and mitigating technical risks, communicating with senior leadership, and ensuring launch readiness, quality, scale, and cost objectives.

Leads cross-functional technical program management for new cloud hardware development and data center infrastructure launches. Coordinates hardware and software engineering, sourcing, supply chain, networking, and operations teams; establishes plans, milestones, dependencies, and launch readiness. Identifies and mitigates technical and delivery risks, communicates status to senior management, aligns internal and external partners, and drives high-quality product delivery through ambiguity.

Lead AI transformation initiatives from experimentation through deployment, adoption, and scale. Partner with engineering and business teams to define outcomes, manage dependencies and risks, drive cross-functional decisions, and measure operational impact. The role requires technical judgment around AI and agentic capabilities, execution across multiple complex initiatives, and incorporation of security, privacy, Responsible AI, and compliance requirements.

Lead cross-functional delivery of commercial space and aerospace programs from proposal through deployment. Manage scope, schedules, risks, dependencies, milestones, customer relationships, documentation, and performance tracking. Coordinate engineering, product, sales, and business development teams while translating technical requirements into executable plans. Support proposals and business growth, and operate across Agile, Waterfall, and hybrid delivery environments.

Leads the introduction of new Azure cloud services, hardware platforms, and deployment processes. Manages cross-functional engineering programs from requirements through launch, including schedules, risks, quality, scalability, and time-to-market improvements. Analyzes data to improve capacity deployment predictability and efficiency, partners with Microsoft engineering teams, and provides technical leadership for high-volume cloud infrastructure deployments.

Drive product roadmap and execution for Azure Monitor's data collection, telemetry pipeline, and configuration management. Translate customer needs into requirements, partner with engineering and design, coordinate cross-team delivery, define success metrics for onboarding, reliability, performance, and governance, and improve adoption and customer satisfaction.

Lead cross-team initiatives to evolve Azure Monitor's data collection, telemetry pipeline, and configuration platform. Define requirements, success metrics, manage risks/dependencies, engage customers, and drive product execution from concept to launch.

Lead end-to-end delivery of hyperscale data center builds and capacity expansions. Translate capacity forecasts into technical program requirements, manage cross-functional execution with Engineering, Supply Chain, and Operations, mitigate schedule and budget risks, report KPIs to leadership, and establish scalable processes and SLAs for global build teams.

Drive process optimization, tooling transformation, and AI-powered automation for global fiber projects. Partner cross-functionally to modernize systems, design and deploy tooling and agents, monitor AI/automation in production, create technical documentation and readiness materials, and lead AI change management to increase adoption and responsible use.

Lead division-wide technical programs to improve engineering processes and drive cost and operational efficiencies for hyperscale cloud infrastructure. Implement and monitor KPIs, collaborate with finance, engineering, and product teams, manage cross-functional initiatives, and represent the team in executive forums to deliver measurable outcomes.

Lead end-to-end technical programs across multiple teams using Azure DevOps and Portfolio++. Define roadmaps, manage dependencies, run Agile ceremonies, surface and resolve risks, build PMO practices, and deliver executive-ready status and dashboards to ensure predictable, outcome-driven delivery.

Own end-to-end delivery of GPU clusters and data center infrastructure programs, coordinating engineering, networking, construction, vendors, contractors, and operations. Manage scope, schedules, risks, critical paths, technical requirements, commissioning, reporting, and executive updates. The role requires hands-on experience delivering large-scale physical IT infrastructure and supporting hyperscale AI workloads across the United States.

Own the strategy, roadmap, and measurable outcomes for Remitly’s global business disbursement program. Lead external partnerships, technical integrations, commercial structures, platform investments, and cross-functional execution across engineering, compliance, and business teams. Define scalable integration frameworks, analyze performance data, prioritize investments, influence senior stakeholders, and apply AI tools to accelerate discovery, decision-making, and program operations.

Leads cross-functional technical programs across engineering, operations, product, customer support, and business development. Establishes scalable systems and processes, coordinates feature implementation, manages multiple concurrent projects, sets timelines, and drives teams toward deadlines. The role requires strong stakeholder communication, influence without authority, comfort with ambiguity, and the ability to balance competing priorities in a rapidly scaling AI-focused company.