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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Annapurna ML - Custom Silicon Strategy, Annapurna Labs - **Company:** Amazon.com, Inc. - **Location:** Cupertino, CA, United States - **Experience:** Experienced - **Salary:** $181,100.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Cloud Computing, Data Centers, Infrastructure as a Service (IaaS), Platform as a Service (PAAS), Software Product Management, AI Infrastructure, High Performance Computing, Information Technology - **Published:** June 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=513cc494a8ee0f54 ## About the Role Do you have experience in Technical product management within tech?, The ideal candidate is excited about the incredible opportunity silicon innovation presents in the industry today and is deeply passionate about working with great teams that deliver the highest quality services. You are naturally customer obsessed and thrive in a fast-paced environment that requires strong technical and business judgment and solid communication skills., * 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 ## 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 increasing 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. You will be responsible for full lifecycle product management of new generations of silicon and compute to create an outsized impact on accelerating several customer workloads including AI/ML, core computing, High Performance Computing, and more. This is a unique opportunity to innovate across all layers of the solution stack (ranging from software services all the way down to the core infrastructure and our custom silicon). You will have strong ownership over product strategy, product definition, feature prioritization, messaging, pricing, adoption, customer interaction, sales enablement, and team development. You will also own greenfield initiatives and lead zero-to-one product strategy and execution. This is a high visibility and high impact role that will interact with all levels of Amazon leadership., * 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 ## Related Videos - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure) - [The Billion Dollar Machine: First Time Right.](https://www.wearedevelopers.com/videos/393-the-billion-dollar-machine-first-time-right) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)