Senior Technical Program Manager

At Cerebras, we're redefining the future of AI compute. We're looking for a Senior Technical Program Manager to lead complex, cross-functional programs across our AI training and inference platforms.

This role sits at the intersection of engineering, product, and infrastructure. You'll partner closely with technical teams to bring clarity to ambiguous problems, align stakeholders, and drive execution across some of the most challenging AI systems in the world.

We prefer candidates based in the Silicon Valley who can work closely with our engineering teams in real time. Silicon Valley preferred; strong remote candidates welcome.

• Lead Complex Programs: Own delivery of large, cross-functional initiatives across Cerebras' AI training and inference platforms.
• Align Stakeholders: Partner with engineering, product, hardware, and infrastructure teams to define scope, priorities, and timelines.
• Plan & Execute: Turn ambiguous goals into clear roadmaps, milestones, and measurable outcomes.
• Engage Technically: Participate in system design and architecture discussions to drive informed tradeoffs.
• Manage Risks & Dependencies: Surface blockers early, coordinate across teams, and resolve escalations quickly.
• Improve Execution: Establish strong planning cadences, tracking, and metrics to increase predictability and velocity.
• Scale Impact: Refine processes and share best practices to help teams operate more effectively.

• B.S./M.S. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)
• 7–10 years leading complex technical programs or product delivery
• Additional experience may be considered for Staff leveling
• Experience delivering complex technical programs across software platforms, distributed systems, or infrastructure
• Strong technical understanding of AI/ML systems, including training and inference workflows
• Prior product or platform experience building AI training, inference, or large-scale compute systems strongly preferred
• Comfortable working closely with engineers and engaging in technical tradeoff discussions
• Excellent prioritization, risk management, and cross-functional alignment skills
• Ability to operate independently in fast-paced, ambiguous environments
• Experience collaborating with distributed or remote teams

• Experience in productizing AI/ML platform, infrastructure or distributed system solutions (training, serving, compilers, runtimes, or large-scale compute) into reliable, customer-facing solutions
• Familiarity with hardware–software co-design or accelerator-based systems
• Experience driving 0→1 or ambiguous platform initiatives
• Strong grasp of performance, scaling, and reliability metrics
• Exposure to customer-facing or field deployments
• Experience mentoring TPMs and improving planning/execution processes
• Comfortable working across distributed, cross-functional teams