Annapurna ML – Custom Silicon Strategy, Annapurna Labs

Amazon is hiring an Annapurna ML – Custom Silicon Strategy, Annapurna Labs in Seattle, United States. It pays $208k-$282k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Neuron Sdk, product management and product strategy.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead product strategy and lifecycle management for custom silicon and AI/ML compute infrastructure at Annapurna Labs.

neuron-sdk

product-managementproduct-strategysiliconai-infrastructure

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.

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.

Key job responsibilities
- 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

Basic qualifications

- 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

Preferred qualifications

- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually

How we rate this

Annapurna ML – Custom Silicon Strategy, Annapurna Labs at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Annapurna ML – Custom Silicon Strategy, Annapurna Labs is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $208k-$282k a year.
The role is based in US, WA, Seattle.
The job was posted on June 12, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementProduct StrategySiliconAI InfrastructureNeuron Sdk

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where product strategy was part of your work. What did you do?
Tell me about a project where silicon was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Walk me through how you've used Neuron Sdk in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Product Management, Product Strategy, Silicon, AI Infrastructure, and Neuron Sdk. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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