Senior Technical Program Manager

Responsibilities

Strategy, Planning & Execution

• Translate Execution Intelligence Foundation strategy and platform architecture into integrated roadmaps, milestones, program plans, and measurable business outcomes.
• Drive execution of foundational AI platform capabilities spanning orchestration services, execution frameworks, runtime systems, workload-governance technologies, memory-management capabilities, model-selection frameworks, and execution-intelligence services.
• Coordinate activities across architecture, software engineering, quality engineering, DevOps, infrastructure, product management, and partner organizations.
• Establish program objectives, ownership models, dependencies, readiness criteria, resource plans, and success metrics.
• Ensure Execution Intelligence Foundation investments align with long-term AI platform strategy and business priorities.
• Drive predictable delivery of shared platform capabilities consumed by multiple product and engineering teams.

Architecture & Foundation Alignment

• Partner closely with architecture leaders to maintain alignment between technical strategy and engineering execution.
• Coordinate architecture reviews, design reviews, dependency-management forums, execution reviews, and planning activities.
• Drive resolution of conflicting priorities, overlapping functionality, architectural dependencies, and execution risks.
• Ensure common platform services, frameworks, APIs, and runtime capabilities evolve consistently across organizations.
• Facilitate collaboration across software, AI, platform, infrastructure, and systems-engineering teams.
• Support governance mechanisms that maximize platform reuse, scalability, and long-term maintainability.

Execution Intelligence Portfolio Coordination

• Coordinate initiatives involving workload orchestration, execution policies, resource governance, memory management, runtime frameworks, model-selection strategies, and agent-execution capabilities.
• Manage dependencies associated with operating systems, hardware platforms, AI runtimes, silicon roadmaps, drivers, SDKs, and platform services.
• Support validation, integration, deployment, and readiness activities across multiple workstreams.
• Partner with internal and external stakeholders to align roadmap priorities and technology investments.
• Coordinate proof-of-concept efforts, technology evaluations, and innovation initiatives supporting future platform evolution.

Risk, Dependency & Operational Management

• Identify and manage technical, organizational, partner, schedule, and integration risks.
• Track dependencies spanning software, hardware, runtimes, AI services, platform frameworks, operating systems, and ecosystem partners.
• Drive mitigation planning and issue resolution before delivery milestones are impacted.
• Establish decision-tracking, action-item management, escalation processes, and operational-review mechanisms.
• Maintain visibility into overall program health and execution readiness.

Executive Reporting & Governance

• Create executive-ready dashboards, scorecards, program reviews, architecture updates, risk assessments, and decision-support materials.
• Present milestone status, technical progress, strategic risks, dependencies, recommendations, and key decisions to senior leadership.
• Translate highly technical platform topics into clear business implications and investment recommendations.
• Support governance forums, executive reviews, portfolio reviews, and architecture-leadership discussions.
• Apply PMO best practices that improve predictability, accountability, transparency, and execution effectiveness.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Engineering, Information Systems, Software Engineering, or related discipline, or equivalent experience.
• 10+ years of experience in technical program management, software platform delivery, infrastructure programs, systems engineering, or related disciplines.
• Demonstrated experience managing complex software-platform initiatives involving multiple engineering teams and external dependencies.
• Experience supporting AI platforms, distributed systems, runtime technologies, systems software, cloud-edge architectures, or platform infrastructure.
• Experience partnering with software architects and engineering leaders on highly technical programs.
• Experience working in highly matrixed and globally distributed organizations.
• Proven experience presenting technical, operational, and strategic updates to senior leadership.

Required Technical Knowledge

• Working knowledge of AI and machine-learning technologies, AI runtimes, agentic AI concepts, and modern software-platform architectures.
• Understanding of workload orchestration, runtime systems, resource governance, memory management, workload scheduling, and execution frameworks.
• Familiarity with client, edge, cloud, and hybrid-computing architectures.
• Understanding of platform software, APIs, middleware, runtime services, distributed systems, telemetry, observability, and software-development lifecycles.
• Familiarity with heterogeneous computing involving CPU, GPU, NPU, memory, storage, networking, and cloud resources.
• Ability to engage credibly with architects and engineers on discussions involving workload execution, platform infrastructure, orchestration, performance, and resource management.
• Ability to translate architecture decisions into executable plans, milestones, dependencies, and delivery commitments.

Program Management & Executive Communication Skills

• Proven success leading complex software-platform and infrastructure programs.
• Strong expertise in roadmap management, integrated planning, governance, portfolio execution, and dependency management.
• Experience managing cross-functional initiatives involving architecture, software, infrastructure, hardware, and ecosystem partners.
• Ability to manage multiple concurrent workstreams while maintaining visibility into overall portfolio health.
• Strong executive communication and storytelling skills.
• Experience creating executive presentations, dashboards, scorecards, status reports, and decision frameworks.
• Ability to frame technical issues, risks, and tradeoffs in business terms.
• Strong facilitation, negotiation, stakeholder-management, and leadership capabilities.
• Ability to influence outcomes and drive accountability without direct authority.

Preferred Qualifications

• Experience supporting AI platforms, agentic AI systems, workload orchestration platforms, runtime frameworks, or systems-software initiatives.
• Experience coordinating initiatives involving Microsoft, Intel, AMD, Qualcomm, NVIDIA, or other technology ecosystem partners.
• Familiarity with AI model execution, workload management, resource optimization, memory-management technologies, or platform orchestration frameworks.
• Experience supporting architecture governance and platform strategy initiatives.
• PMP, PgMP, PMI-ACP, SAFe, or comparable program-management certifications.

Impact & Scope

This role drives execution for the Execution Intelligence Foundation, ensuring the foundational orchestration, runtime, resource-management, memory-governance, and execution-intelligence capabilities required by AI workloads and agents are delivered predictably and at scale. The individual serves as a bridge between architecture strategy and engineering execution while enabling a common foundation for future Agentic AI innovation.

Complexity

Manages highly interdependent initiatives spanning orchestration frameworks, runtime systems, workload governance, execution policies, memory-management technologies, platform infrastructure, operating-system integration, AI services, and ecosystem partnerships. Success requires balancing architectural direction, engineering execution, partner dependencies, and long-term platform strategy while maintaining alignment across a broad set of organizations and technologies.

Salary: $169,100 - $249,450

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

Benefits

At Hp, we offer a competitive and comprehensive benefits package, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)