Top Technical Program Manager Jobs

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.

Lead complex technical programs involving cloud infrastructure, data center migrations, new cloud environments, and internal services. Define project charters, plans, milestones, and deliverables; coordinate infrastructure, networking, security, engineering, and cloud operations teams; manage risks and dependencies; establish governance and process improvements; and provide executive reporting. Maintain accurate data across Jira, Confluence, dashboards, spreadsheets, and other operational systems.

Leads complex, enterprise-scale technology programs across cybersecurity, infrastructure, modernization, and regulatory transformation. Responsibilities include strategic planning, governance, resource and budget management, risk mitigation, executive reporting, stakeholder alignment, dependency management, and cross-functional delivery. The role also promotes validated AI-assisted program planning, continuous improvement, operational readiness, and sustainable adoption across multiple lines of business.

Leads complex technical programs spanning multiple engineering teams, systems, products, and infrastructure domains. Defines program goals, roadmaps, dependencies, budgets, risks, delivery plans, and success metrics. Drives technical design discussions, release readiness, operational excellence, modernization, automation, and issue resolution. Aligns stakeholders, manages ambiguity, communicates progress, mentors team members, and improves scalable program-management processes and workflows.

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.

Leads complex manufacturing capacity programs and capital expenditure projects from concept through commissioning. Responsibilities include facility upgrades, production line implementation, equipment installation, factory design, integrated scheduling, budget tracking, risk mitigation, supplier and engineering-partner management, and cross-functional coordination across Manufacturing, Hardware, Facilities, Supply Chain, and Engineering.

Own end-to-end customer onboarding for nRF Cloud, managing implementation projects from kickoff through production rollout. Establish scope, milestones, timelines, and success criteria; align customer stakeholders and technical teams; identify and escalate risks; lead technical workshops and enablement; and improve onboarding processes. The role requires strong project management, technical fluency in firmware and embedded systems, and the ability to create momentum across engineering and executive audiences.

Drive complex, cross-functional platform engineering initiatives across runtime systems, device drivers, deployment, observability, hardware, and architecture teams. Develop technical execution plans, manage dependencies, improve reliability and scalability, establish milestones and metrics, investigate risks, and unblock engineering progress. The role supports hardware/software integration, fleet-scale deployment, debugging, platform readiness, and engineering workflow improvements through telemetry, dashboards, automation, and AI-assisted tools.

Leads large-scale AI and technology programs across Retail Intelligence, coordinating Engineering, Data Science, Product, and Business teams. Translates strategy into execution plans, manages roadmaps, dependencies, risks, milestones, and tradeoffs, and drives technical decisions. The role establishes operating mechanisms, uses metrics and executive reporting to improve delivery predictability, and advances technical program management practices across organizations.

Leads a cybersecurity-focused technical program for government customers, owning cost, schedule, performance, risk management, compliance, stakeholder coordination, and program deliverables. Serves as the primary customer contact, technical cyber subject matter expert, onsite task lead, and consultant on cybersecurity and AI capabilities. Coordinates investigations, insider-risk challenges, analysts, engineers, subcontractors, and government personnel while supporting transitions, process documentation, and operational engagements.

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 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.

Leads large-scale, cross-functional technology programs from planning through delivery. Partners with engineering, product, finance, operations, and executive stakeholders to define roadmaps, manage governance, track risks and dependencies, communicate progress, and deliver measurable outcomes. Translates technical concepts into business recommendations while driving alignment, resolving blockers, and managing program metrics across multiple workstreams.

Drives enterprise-wide AI enablement programs from concept through production. Coordinates engineering, product, and business teams across multiple workstreams; manages scope, timelines, dependencies, budgets, resources, risks, and performance. Establishes program management standards, provides technical guidance, communicates status to senior leadership, and promotes continuous improvement. The role supports the Chief AI Simplification and Transformation Officer’s enterprise transformation agenda.

Leads strategy, roadmaps, and execution for financial data platforms and products. Translates business needs into technical requirements, coordinates Finance, Product, Analytics, and Engineering stakeholders, manages dependencies and risks, and improves delivery processes. Investigates datasets using SQL, oversees data lifecycle and warehouse architecture, supports production operations, and drives AI-powered automation and workflow adoption. Mentors junior TPMs and develops frameworks and best practices for the broader organization.

Lead and develop a team of Technical Program Managers responsible for Azure fleet lifecycle and cloud expansion programs. Drive strategy, cross-functional alignment, roadmap execution, governance, dependency management, reliability, supportability, and operational excellence across engineering, operations, data science, and compliance teams. Use metrics, experimentation, automation, and Generative AI to improve platform performance and business outcomes while influencing executives and fostering an inclusive, high-performing culture.

Owns and scales internal AI transformation solutions, workflow automations, operational tools, and business platforms. Responsibilities include managing technical program roadmaps, defining architecture and governance, integrating systems, coordinating troubleshooting and releases, establishing support models and documentation, improving AI-enabled workflows, and driving adoption. The role translates business needs into technical requirements and delivery plans while coordinating cross-functional stakeholders throughout the solution lifecycle.

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.

Own cross-functional technical programs supporting AI platform reliability and driverless readiness. Manage systems verification and validation tooling, reliability metrics, execution plans, issue triage, dependencies, and risk assessments. Coordinate AI Platform, Systems, Hardware, Autonomy, and Vehicle Operations teams; translate field failures into engineering priorities; improve testing, troubleshooting, intervention, and recovery workflows; and report progress to leadership.

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 large-scale data programs supporting robotics and LLM training and evaluation. Manage external annotation and data vendors, including sourcing, contracts, pricing, SLAs, KPIs, compliance, and performance improvement. Partner with Legal, Privacy, Security, and research teams to ensure scalable data operations. Build dashboards, documentation, playbooks, and processes to monitor quality, throughput, turnaround time, budgets, and vendor effectiveness.

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.

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.

Own the systems, tools, and processes supporting product delivery. Lead cross-functional execution, agile cadences, product operations, release validation, requirements, technical documentation, customer onboarding, and stakeholder communications. Develop product requirements, success metrics, dashboards, telemetry, and feedback loops to measure adoption and system health. Partner with engineering, data science, product, and customer-facing teams to improve delivery quality, scalability, and operational effectiveness.

Leads a global Technical Program Management team responsible for firmware security, security standards, fleet protection, and automated firmware deployment and recovery. The role manages engineering efforts across the US, Taiwan, and India; partners with suppliers and internal teams; defines security features; measures business impact; and develops and retains technical talent.