Top Technical Program Manager Jobs in Seattle, WA

Leads technical program delivery for enterprise Customer Data Platform systems, coordinating roadmaps, feature workstreams, dependencies, risks, milestones, and release readiness. Partners with engineering, product, and cross-functional stakeholders on architecture, integrations, data models, scalability, performance, reliability, and data integrity. Develops reporting and execution processes, facilitates technical working sessions, translates business requirements into delivery plans, and communicates status and risks across technical and business teams.

Build and deploy AI-powered agents, automations, applications, and workflow solutions for Microsoft business teams. Translate ambiguous needs into prototypes and production systems using Power Platform, Microsoft 365, GitHub, Azure AI, APIs, and full-stack technologies. Lead stakeholder discovery, process redesign, testing, deployment, adoption, lifecycle management, responsible AI practices, and outcome measurement while collaborating across global technical and business teams.

Lead complex hardware New Product Introduction programs for wearable products, smart glasses, and audio subsystems. Coordinate cross-functional engineering teams, manage schedules, budgets, risks, dependencies, requirements, and stakeholder communications, and drive delivery across hardware, mechanical, electrical, optical, and audio disciplines. The role requires subsystem-level technical program management experience, audio hardware expertise, and experience delivering complex hardware programs.

Leads end-to-end technical program management for scalable quantum hardware systems, coordinating research, engineering, manufacturing, supply chain, cloud, and external partners. Responsibilities include roadmap development, milestone and resource planning, risk mitigation, supplier engagement, Agile delivery, customer feedback integration, and executive communication. The role focuses on advancing quantum hardware from concept through prototyping, validation, manufacturing scale-up, and ongoing delivery while mentoring TPM teams and supporting responsible AI applications in engineering workflows.

Leads complex, cross-functional engineering programs with customers, partners, and internal teams. Defines customer scenarios, technical approaches, success criteria, roadmaps, user stories, staging plans, and implementation plans. Coordinates software engineers, data scientists, designers, and stakeholders; manages governance, risks, metrics, testing, customer support, and direct customer engagements. The role focuses on AI and cloud-based solutions for government customers and requires an active TS/SCI clearance.

Leads complex AI infrastructure technology programs from planning through delivery. Responsibilities include defining scope, timelines, resources, budgets, and deliverables; managing risks and dependencies; coordinating engineering, product, and business stakeholders; applying analytical reasoning; promoting agile and AI-assisted governance practices; and ensuring human validation, data sensitivity compliance, and alignment with business goals.

Supports cross-functional technical programs from planning through implementation, testing, release, and operational handoff. Maintains schedules, backlogs, risks, dependencies, documentation, and status reporting while coordinating engineering, security, compliance, operations, business teams, vendors, and contractors. Supports operational readiness, security and compliance remediation, incident follow-up, releases, audits, technical assessments, and process improvements.

Lead strategic and cross-functional technical programs for Microsoft Defender across global, sovereign, and regulated cloud environments. Own delivery outcomes, readiness, reliability, dependencies, risks, and operational improvements from strategy through execution. Use telemetry, incident data, customer requirements, and service metrics to prioritize corrective actions, automation, and process improvements. Partner with engineering, infrastructure, security, operations, and regional teams while providing senior leaders with portfolio visibility and decision support.

Leads strategic technical program initiatives for Microsoft Specialized Clouds, coordinating engineering, operations, security, compliance, finance, customers, and executives. Drives delivery, operational improvements, business rhythms, reporting, customer engagements, and roadmap insights for mission-critical government and regulated cloud workloads.

Leads complex, cross-functional technical programs across engineering organizations, owning strategy, execution, dependencies, roadmaps, and operational excellence. Uses Python, SQL, dashboards, and automation to analyze systems and guide decisions. Partners with engineering and product leaders on architecture and technical trade-offs, drives reliability and performance initiatives, improves internal platforms, and mentors TPMs and engineers.

Leads AI transformation initiatives from opportunity through experimentation, deployment, adoption, and scale. Partners with engineering and business teams to define outcomes, manage dependencies and risks, drive decisions, measure operational impact, and establish security, privacy, Responsible AI, and compliance practices. Identifies reusable approaches that enable transformation across the organization.

Lead operating model and execution for Microsoft’s OpenAI partnership. Establish governance, operating rhythms, accountability, decision processes, and leadership visibility across complex technical and strategic workstreams. Coordinate product, engineering, research, infrastructure, legal, business, and executive stakeholders across both organizations. Translate priorities into plans, resolve blockers, identify risks and dependencies, support strategic decisions, and launch new partnership initiatives.

Leads complex Online Forensics and technical programs involving fraud prevention, traffic quality, advertiser protection, partner operations, compliance, investigations, and enforcement. Coordinates engineering, product, data science, business, and partner stakeholders; manages escalations, risks, experiments, audit readiness, and remediation. Establishes scalable operating mechanisms, uses analytics and telemetry to guide decisions, drives automation, and communicates operational health and recommendations to executives.

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 Azure hardware server platform development from concept through delivery. Drives requirements, schedules, deliverables, hardware planning, firmware collaboration, validation programs, and technical reviews. The role coordinates hardware, firmware, and software teams, aligns cross-functional stakeholders, and improves quality and development processes for scalable, high-volume cloud infrastructure. It requires experience in technical program management, hardware development, manufacturing, systems design, and cross-team project leadership.

Leads complex aerospace and defense programs across engineering, manufacturing, quality, cybersecurity, supply chain, and customer requirements. Oversees cross-functional teams, technical execution, program planning, cost, schedule, scope, risk, documentation, reviews, proposals, and customer communications. Ensures mission-critical mechanical and pyrotechnic systems meet contractual, technical, budget, and schedule objectives throughout the program lifecycle.

Leads complex technical programs across Microsoft Ads Data, Platform, and Tools. Drives performance, reliability, scalability, capacity, cost efficiency, and operational readiness for high-scale advertising systems. Analyzes architecture, code paths, production data, logs, experiments, and telemetry to develop evidence-based technical direction. Aligns engineering, product, data science, and business stakeholders, manages dependencies and risks, drives launches, measures outcomes, and shapes broader technical strategy.

Leads technical due diligence and integration planning for strategic transactions, coordinating engineering, product, security, legal, finance, compliance, and external teams. Evaluates technical risks and business impacts, develops integration or separation plans, supports secure technology transfers, resolves cross-functional issues, and delivers executive-ready reporting. Builds repeatable playbooks and AI-enabled workflows to accelerate diligence, improve decision quality, and scale transaction execution.

Leads the AI Infrastructure platform roadmap, scaling distributed GPU systems and AI workloads from research to production. Owns product areas, requirements, launches, experiments, and performance metrics while coordinating engineering, research, UX, data science, marketing, and product teams. Drives customer-focused development, resolves ambiguity, and delivers reliable, efficient cloud infrastructure for AI Foundry and other Microsoft AI services.

Leads Quantum engineering operations, planning cycles, budget management, investment analysis, BI dashboards, strategic planning, and supply-chain risk mitigation. Translates operational and financial data into recommendations, manages purchase-order visibility and cost models, and coordinates cross-functional initiatives to support technical roadmaps, productization, and long-term strategy.

Leads the evolution of Microsoft’s Finance Data platform by defining program goals, coordinating cross-functional teams, managing dependencies and risks, and driving roadmaps, releases, testing, quality, security, privacy, and Responsible AI requirements. Monitors performance through KPIs, telemetry, experimentation, and stakeholder feedback to improve reliability, supportability, and business outcomes across Finance and partner organizations.

Leads Slack Growth technical programs spanning self-service revenue experiments, onboarding, global expansion, and Slackbot initiatives. Partners with product, design, engineering, data science, marketing, and executives to align roadmaps, manage dependencies and risks, track releases, and improve operational processes. Builds automation and AI-assisted tools, establishes metrics and reporting, drives planning cycles, and converts ambiguous goals into structured projects with measurable outcomes.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

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.

Lead technical strategy and program execution for Microsoft Azure cloud hardware and firmware infrastructure. Use fleet telemetry, customer signals, operational incidents, and architectural analysis to identify systemic improvements and guide product investments. Drive complex technical decisions and alignment across hardware, software, architecture, datacenter operations, validation, product, and customer-facing teams. Define requirements, specifications, technical tradeoffs, and engineering plans while monitoring industry advancements in cloud firmware technologies.