Annapurna ML – Custom Silicon Strategy, Annapurna Labs

Description

Amazon's Annapurna Labs designs the custom silicon (Trainium, Inferentia, Graviton, Nitro) and software (Neuron SDK) that powers the world's most advanced cloud and AI infrastructure. We are now entering a new chapter of innovation for our product portfolio and are seeking a dynamic and seasoned product leader to help define and build the future of our products. Customers today are rapidly evolving and looking for ways to bring gen AI to their organizations and applications.

These customers are increasingly relying on compute that is built on Amazon's custom silicon to achieve the best price performance for their rapidly evolving workloads. Within Annapurna Labs, you will work with a team that defines the strategy and roadmap for delivering this performance and new products to customers.

• Lead product strategy
  - Define and execute the product strategy for new silicon and compute offerings, including greenfield initiatives, working backwards from customer needs to identify the right product positioning, product definition, and go‑to‑market approach.
• Define and gather customer inputs
  - Engage with prospective customers to validate product‑market fit, gather feedback, and make high‑quality product and roadmap decisions.
• Drive cross‑org collaboration
  - Work with leaders across Annapurna silicon teams, Neuron, and partner organizations to deliver innovation and ensure a unified, coordinated roadmap.
• Bridge hardware and software
  - Translate silicon performance capabilities into customer‑facing value propositions and product requirements that span the full solution stack.
• Define product requirements and track execution
  - Establish priorities, performance goals, methods for measurement, and track their execution and success.
• Build the support and enablement structure
  - Define the end‑to‑end support model for this new offering, including documentation, SLAs, and escalation paths.
• Communicate with senior leadership
  - Provide regular updates on strategy, project status, risks, and issues to senior management across the organization.

• 7+ years of working as a Technical Product Manager experience.
• Experience delivering large‑scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market).
• 3+ years of experience in semiconductor silicon hardware product management (e.g., chip vendors, system OEMs, or enterprise hardware companies).
• Experience delivering large‑scale hardware and software products where you are responsible for the full product lifecycle, from concept through GTM (go to market).
• Bachelor's degree in Engineering, Computer Science, Electrical Engineering, or related technical field.

• Master of Business Administration, or Master's degree in a technical field.
• Experience engaging with customer executives with a passion for delivering exceptional service.
• Experience leading engineering discussions around technology decisions and strategy related to a product.
• Experience influencing senior executives on strategy decisions.
• Understanding of ML/AI workloads and key hardware performance metrics and specs (memory bandwidth, compute throughput, power efficiency, thermal design) that impact these workloads.
• Experience with semiconductor, silicon or data center/cloud infrastructure including design, supply chain, and supporting physical server/accelerator systems to enterprise customers.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at (Use the "Apply for this Job" box below)..

USA, CA, Cupertino -  -  USD annually

USA, WA, Seattle -  -  USD annually