Top Program Manager Jobs

Leads and coordinates disability and human-services programs, supervising staff, ensuring coverage, training, regulatory compliance, and person-centered support. The role combines program leadership with limited direct care, on-call responsibilities, transportation, and assistance with personal care and transfers. Candidates must meet Minnesota 245D Designated Manager requirements, including three years of human-services supervisory experience, and maintain a valid driver’s license, insurance, and reliable transportation.

Leads and coordinates disability support programs serving individuals with intellectual and developmental disabilities, mental health diagnoses, medical needs, and autism. Oversees staff scheduling, training, supervision, compliance, and service delivery; remains on call and may provide direct care when needed. The role requires flexible leadership, transportation of supported individuals, personal care assistance, and lifting or transferring responsibilities.

Leads and coordinates disability and human services programs for individuals with intellectual and developmental disabilities, mental health needs, autism, and complex medical needs. Supervises and trains staff, ensures shifts are staffed, maintains licensing and service standards, responds to emergencies while on call, and occasionally provides direct care. The role requires flexible scheduling, transportation of supported individuals, and assistance with personal care, lifting, and transfers.

Leads and coordinates disability support programs for individuals with intellectual and developmental disabilities, mental health, behavioral, medical, and autism-related needs. Supervises staff, ensures shifts are staffed and employees are trained, provides direct care as needed, handles on-call responsibilities, coordinates services, and supports compliance with Minnesota 245D requirements. Requires flexibility, transportation of service recipients, and ability to perform personal care and lifting or transfers.

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.

Own product strategy, roadmaps, investment priorities, and end-to-end delivery for AI-powered commerce experiences. Partner with engineering, data science, design, marketing, and business stakeholders to translate customer needs into products, influence decisions, evaluate performance, and drive measurable improvements. Lead discovery, requirements, launches, iteration, customer feedback, operational excellence, and cross-organizational alignment at global scale.

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 Cloudflare’s Governance, Risk, and Compliance technical program, initially focused on the Department of Defense Impact Level 4 initiative. Responsibilities include managing roadmaps, milestones, dependencies, governance forums, risks, executive reporting, stakeholder alignment, and cross-functional execution. The role also involves using AI platforms and automation to streamline program administration, metrics, status updates, and dashboards while applying federal cybersecurity frameworks and balancing compliance objectives with security priorities.

Oversees child-placing program operations, including case management, home development, recruitment, intake, discharge, staff supervision, documentation compliance, quality audits, training, and regulatory coordination. The role reviews placement and care plans, supports Family Specialists, attends court hearings, facilitates staff meetings, and collaborates with agencies and performance improvement teams to ensure service quality and compliance.

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 end-to-end Tegra diagnostic software planning and execution across the SoC silicon lifecycle, including pre-silicon development and validation, silicon and platform bring-up, and productization. Coordinate cross-functional teams, schedules, milestones, dependencies, technical activities, and software lifecycle deliverables across global locations. Partner with product design teams to prioritize and implement custom bring-up requirements for embedded, automotive, robotics, autonomous machine, and data center platforms.

Own end-to-end SoC technical programs from architecture through tape-out, bring-up, validation, and productization. Drive schedules, dependencies, technical trade-offs, cross-functional alignment, risk mitigation, and silicon hardware logistics across engineering, operations, software, systems, and marketing. Improve execution processes and evaluate AI-powered tools for program management, logistics, documentation, and engineering productivity. The role requires onsite teamwork in Santa Clara at least three days per week.

Lead technical program management for NVIDIA’s LPU SDK software initiatives. Responsibilities include defining execution plans, managing priorities and dependencies, tracking risks, coordinating cross-functional engineering teams, reporting program status, moderating technical discussions, analyzing program metrics, and driving on-time delivery. The role also serves as a liaison between developers and customers while improving processes and supporting enterprise software programs.

Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.

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.

Drive DFX program execution for semiconductor products from plan of record through production release. Coordinate pre- and post-silicon test readiness, bring-up, test content debugging, yield learning, quality targets, and production ramp activities across engineering, validation, test, operations, and software teams. Manage integrated schedules, dependencies, risks, scope changes, execution reviews, and leadership reporting across concurrent programs.

Lead technical programs for NVIDIA’s enterprise network engineering and infrastructure teams. Guide architects, align engineering programs and processes, review designs, prioritize network deployments, manage office and data center builds, identify risks, optimize costs, and drive cross-functional solutions. The role requires extensive network engineering or technical program management experience, hands-on deployment expertise, scalable enterprise network design knowledge, and strong communication across global teams.

Lead end-to-end DFX software methodology programs across infrastructure, implementation, verification, and silicon bring-up. Own roadmaps, releases, quality gates, adoption, dependencies, risks, metrics, and process improvements. Collaborate with engineering, CAD, IT, and cross-functional partners to align methodology releases with chip milestones, support verification and post-silicon debug, and communicate program health and trade-offs to leadership.

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 NVIDIA’s autonomous vehicle software program portfolio, owning delivery roadmaps, governance, risk management, customer timelines, and cross-functional execution. Manages and develops a team of technical program managers while personally driving complex autonomy programs, integrations, design reviews, and issue resolution. Partners with engineering, testing, regulatory, product, and vehicle-program leaders to deliver autonomous driving features and communicate technical risks and decisions to executives.

Leads a team of technical program managers overseeing NVIDIA image quality programs across Jetson and DRIVE. Responsibilities include setting camera ecosystem priorities, managing engineering resources, launching partner certification and AI-powered tuning programs, ensuring image quality readiness for software releases, resolving critical issues, and building agentic AI workflows for triage and partner support. The role also requires executive-level partner engagement and collaboration across global automotive, robotics, sensor, and technology partners.

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 the full lifecycle of IT infrastructure demand across data centers, offices, colocation facilities, and WAN/Edge environments. Responsibilities include intake and prioritization, portfolio roadmap management, capacity forecasting, allocation, executive operating cadences, partner coordination, operational health metrics, governance, funding alignment, and contract planning. The role requires translating infrastructure constraints into strategic decisions and building scalable demand-management processes.