Senior Technical Program Manager (Agentic AI)

Location: Palo Alto, California, United States of America

Company

hirify.global develops software platforms that enable intelligent, secure, and scalable experiences across client and edge computing environments.

What you will do

• Translate business and technology strategy into integrated program plans, roadmaps, milestones, deliverables, and measurable outcomes.
• Drive complex Edge AI and systems software programs from strategy and architecture through development, validation, and delivery.
• Coordinate execution across architecture, software engineering, product management, quality, security, business teams, and external technology partners.
• Manage technical, resource, schedule, organizational, and partner-related risks, dependencies, issues, assumptions, and decisions.
• Establish program reviews, technical checkpoints, decision forums, governance practices, dashboards, scorecards, and status reports.
• Present program status, risks, options, recommendations, customer outcomes, and business implications to senior leadership.

Requirements

• Four-year or graduate degree in Computer Science, Engineering, Information Systems, Business Management, a related discipline, or equivalent experience.
• Typically 10 or more years of experience in technical program management, engineering program management, platform delivery, or a related field.
• Experience managing complex, multi-year software or platform programs involving multiple engineering teams, organizations, products, and external dependencies.
• Experience with AI, Edge AI, machine learning, platform software, cloud-edge, operating system, or systems software programs.
• Experience partnering with software architects and senior engineers on technically complex initiatives and working in highly matrixed, globally distributed organizations.
• Working knowledge of AI and machine learning concepts, including model inference, AI runtimes, model optimization, and deployment.
• Understanding of Edge AI constraints involving performance, resources, power, security, and connectivity on client and edge devices.
• Familiarity with heterogeneous computing across CPU, GPU, NPU, memory, storage, and cloud resources; agentic AI, workload orchestration, local and hybrid AI execution, telemetry, and performance measurement.
• Familiarity with software architecture, platform integration, APIs, security, quality, and modern software development lifecycles.
• Strong integrated planning, roadmap management, milestone tracking, delivery governance, risk and dependency management, written communication, presentation, facilitation, negotiation, and stakeholder-management skills.
• Ability to manage multiple workstreams, structure ambiguous programs, present confidently to senior leadership, frame tradeoffs and recommendations, and drive accountability without direct authority.

Nice to have

• Experience delivering AI or systems software for PCs, edge devices, embedded systems, or enterprise endpoints.
• Experience with AI inference frameworks, model runtimes, telemetry systems, performance engineering, or device-management technologies.
• Experience coordinating programs with silicon providers, operating-system vendors, cloud providers, or independent software vendors.
• Experience supporting architecture governance across multiple business units.
• PMP, PgMP, PMI-ACP, SAFe, or comparable program-management certification.

Culture & Benefits

• Full-time employment within a highly matrixed and globally distributed organization.
• Work spans multiple engineering organizations, business units, and external ecosystem partners.
• The role promotes accountability, transparency, collaboration, continuous improvement, and predictable execution.