Top Remote Technical Program Manager Jobs

Lead complex, cross-functional software programs spanning product, engineering, infrastructure, and platform teams. Translate strategy and OKRs into execution plans, manage dependencies and risks, improve delivery flow using metrics and AI-driven insights, and facilitate alignment among senior stakeholders. Coach teams toward empowered, data-driven delivery while shaping program processes, tools, and operating culture.

Owns Microsoft’s next-generation regional Ethernet networking program for AI infrastructure. Responsibilities include defining requirements, shaping network designs, leading interoperability and workload testing, coordinating engineering and operations, planning staged production deployments, establishing operational-readiness criteria, and managing cross-team dependencies, risks, metrics, and partner alignment.

Lead cross-functional Data Foundations programs spanning telemetry, platform health metrics, analytics infrastructure, data governance, and reliability. Own technical requirements, roadmaps, stakeholder alignment, delivery operations, and organizational adoption without direct authority. Partner with engineering on pipelines, event streaming, service levels, and anomaly detection while contributing to product discovery and customer use-case analysis. The role requires SQL proficiency, modern cloud data stack knowledge, and strong technical program management experience.

Lead flexible and rigid circuit board design releases and manufacturing builds for wearable devices from early design through production. Manage PCB fabrication, SMT and FATP builds, supplier readiness, APAC contract manufacturers, schedules, quality, yield, and risks. Collaborate with electrical engineers and cross-functional teams while coordinating with overseas partners. Contribute to consulting practice activities, thought leadership, case studies, and digital transformation materials.

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.

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.

Drive cross-functional engineering and operational programs for Microsoft’s CyberShield red team. Partner with security engineers, red team operators, platform teams, customers, and leadership to develop scalable infrastructure, tooling, and agentic AI capabilities for offensive security. Translate red team tradecraft into technical plans, manage requirements, dependencies, risks, milestones, OKRs, and outcomes, and advance capabilities across cloud, identity, network, endpoint, hardware, and operational security environments.

Lead safety and systems technical program execution for autonomous vehicle platforms. Coordinate safety assessments, system architectures, verification and validation, production readiness reviews, continuous software evaluation, executive reporting, issue tracking, and cross-functional engineering alignment. Consolidate plans and Jira data, use AI tools to reduce administrative overhead, ensure requirements have test coverage, and drive safety, security, and systems deliverables through deployment decisions.

Leads cross-functional technical programs for NVIDIA OEM partners and AI Factory customers across hardware development, deployment, operations, and support. Identifies ecosystem and service-readiness gaps, coordinates engineering and partner teams, drives debugging and issue resolution, establishes milestones and accountability, and improves deployment and lifecycle-support processes. The role also develops training, standardizes program tracking and reviews, influences leadership decisions, and converts field feedback into repeatable product and operational improvements.

Own the technical program for Socure’s partner ecosystem, including API discovery, integration specifications, roadmap prioritization, launch readiness, troubleshooting, monitoring, documentation, and partner certification standards. Drive engineering execution without direct authority, support customer implementations, enable Solutions and Sales teams, and establish scalable integration patterns. The role requires strong REST API, distributed systems, debugging, documentation, partner management, and AI-assisted workflow skills.

Leads multidisciplinary programs delivering air- and liquid-cooled server rack solutions for hyperscale data centers. Coordinates mechanical, thermal, electrical, networking, supply chain, manufacturing, vendors, and customers from RFP through validation, NPI, and deployment. Manages schedules, risks, dependencies, compliance, documentation, and stakeholder communications while driving scalable, manufacturable infrastructure for AI/ML, cloud, and network deployments.

Lead end-to-end operations for large-scale AI training supercomputers, coordinating engineering, datacenter, business, and customer teams. Manage infrastructure availability, training reliability, incident response, repair and recovery, maintenance, operational readiness, SLAs, and customer commitments. Identify operational risks, lead recovery from complex issues, and convert lessons learned into scalable improvements in observability, automation, tooling, and fleet operations.

Leads strategy and execution for reliable, scalable, and modern EDA compute infrastructure supporting chip development and tapeout. Coordinates global engineering programs, customers, vendors, and cloud and software tooling partners. Responsibilities include planning, forecasting, dependency management, agile guidance, metrics, reporting, issue resolution, technical discussions, process improvement, and senior-management communication.

Lead strategy and execution for NVIDIA Hardware EDA infrastructure programs, including cluster bring-up, decomposition, operations, modernization, and cloud migration. Coordinate engineering teams and cross-company partners, establish planning and reporting standards, manage dependencies, and use metrics, OKRs, and KPIs to measure outcomes. Drive operational excellence, automation, continuous improvement, communication, and alignment across technical and business stakeholders.

Leads the full lifecycle of global AI inference programs spanning software, hardware, tooling, and product teams. Responsibilities include planning, scheduling, dependency tracking, executive reporting, agile coaching, risk metrics, technical alignment, process improvement, and resolving resource conflicts. The role partners with engineering leadership to coordinate software libraries with hardware timelines and drives complex technical discussions toward documented decisions and successful delivery.

Leads complex customer-facing technical programs for AI storage computing platforms, coordinating OEMs, ODMs, vendors, software partners, engineering, operations, quality, product management, and sales. Drives system integration from proof of concept through development, validation, customer acceptance, and production deployment. Manages timelines, design reviews, technical issues, risks, metrics, dashboards, and executive communications while ensuring successful project execution and continuous improvement.

Lead strategic technical programs with CSPs and ODM/OEM partners to deploy NVIDIA AI datacenter platforms. Integrate datacenter tools, operationalize AI factory processes, resolve blockers, manage timelines and cross-functional teams, ensure delivery of customer-specific features, and communicate program status and risks to senior leadership.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

Lead technical programs with hyperscalers and OEM/ODMs to deliver AI datacenter infrastructure from design through production. Define schedules and milestones, translate customer requirements into cross-functional plans, resolve issues, manage qualification/validation, monitor factory production and yields, and communicate program health to customers and leadership. Champion post-deployment sustaining support and coordinate global teams to ensure timely delivery and customer acceptance.

Leads Docker’s Forward Deployed Engineering program by defining delivery standards, quality metrics, operating rhythms, and engagement processes. Tracks customer and engineering commitments, manages dependencies and capacity planning, surfaces risks, communicates with executives, improves cross-functional collaboration, and mentors junior technical program managers. The role supports enterprise customers and requires strong knowledge of cloud platforms, containers, software delivery, and metrics-driven program management.

Leads Industrial Controls workstreams for customer new product introduction programs, coordinating engineering, product, manufacturing, suppliers, and operations. Responsibilities include managing budgets, schedules, scope, vendors, risks, technical reviews, NPI readiness, prototype builds, validation, factory and site acceptance testing, pilot builds, commissioning, and production scale-up. The role requires cross-functional influence, executive reporting, and delivery of complex robotics, automation, and electro-mechanical systems.

Lead Veracode’s customer onboarding program across enterprise and commercial deployments. Own program strategy, governance, portfolio visibility, risk and dependency management, KPIs, executive reporting, operating models, and cross-functional accountability. Coordinate Customer Success, Project Management, Engineering, Architecture, Product, and customer teams to improve deployment predictability, time to value, scalability, and transitions into ongoing customer success.

Lead multi-quarter data platform modernization programs involving streaming ingestion, table format migrations, workflow consolidation, and legacy system deprecation. Coordinate cross-functional engineering teams, manage dependencies and risks, build dashboards, validate efficiency savings, communicate status to leadership, and apply GenAI to improve program execution, workflows, and decision-making while meeting AI governance requirements.

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 global technology-center transformation initiatives from strategy through execution, adoption, benefits realization, and continuous improvement. Develops integrated roadmaps, governance, executive reporting, risk controls, financial plans, and success measures. Influences senior stakeholders across regions, coordinates distributed teams, manages dependencies and trade-offs, drives change adoption, and establishes reusable program-management standards. Uses validated, enterprise-authorized AI capabilities to support planning, risk synthesis, and reporting.