Senior Technical Program Manager, Agentic AI

What You'll Be Doing

Lead end-to-end planning and execution of AI for Chip Design initiatives ensuring timely, on-scope, and scalable delivery.

Define program plans and timelines for AI capabilities, tracking progress, partnership status, risk opportunities and reporting status to leadership.

Lead technical discussions between AI engineers, hardware teams, and platform groups to ensure alignment on architecture, integration, and delivery expectations.

Operationalize the evaluation of both internal and external AI tools and drive their adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement.

Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets.

Serve as the central point of communication for all stakeholders, providing clear status updates, insight into dependencies, and escalating when needed.

Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows.

Document program processes, decisions, and lessons learned to create repeatable practices for AI infrastructure delivery and cross-team collaboration.

What We Need To See

• Bachelor’s degree (or equivalent experience) in Computer Science or a related field with 12+ years of proven experience leading complex, cross-functional technical programs in AI
• Hands-on experience building, deploying, or integrating AI agents, copilots, or LLM-powered systems into real-world workflows
• Strong understanding of software engineering fundamentals, system architecture, and scalable infrastructure for applications that use artificial intelligence
• Demonstrated ability to collaborate deeply with engineering teams and influence technical decisions, architecture, and trade-offs
• Experience driving programs from concept through production, including planning, execution, risk management, and delivery at scale
• Excellent communication and stakeholder leadership skills, with the ability to translate complex technical concepts into clear program direction and updates

Ways To Stand Out From The Crowd

• Experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows
• Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications
• Experience with cross-geography coordination and leading teams or projects spanning multiple sites