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Sr. Cloud Sales Design-In Manager - Microsoft

Job in Bellevue, King County, Washington, 98009, USA
Listing for: AMD
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Systems Engineer
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

WHAT YOU DO AT AMD CHANGES EVERYTHING. At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

The Role

AMD’s Cloud Sales & Partnerships organization is seeking an experienced and highly technical Sr. Cloud Sales Design‑In Manager to identify and win opportunities targeting AMD FPGA, custom silicon, networking solutions, and pursue EPYC CPU instance usage by 1st party SaaS/PaaS solutions within Microsoft Azure. This role is responsible for identifying new cloud opportunities, influencing architecture and platform decisions, and driving design‑ins across Azure and its 1st‑party SaaS and PaaS services.

The ideal candidate has a strong technical background across FPGA, networking, and CPU architectures, combined with deep familiarity with hyperscale cloud business models and Microsoft’s ecosystem.

Key Responsibilities
  • Engage directly with Microsoft Azure engineering, product, and architecture teams to identify, shape, and close new opportunities for AMD FPGA, custom silicon, networking, and CPU‑based solutions.
  • Drive design‑in adoption of AMD technologies across Azure and EPYC instance use by Azure 1st party SaaS and PaaS services though workload optimization on EPYC instances.
  • Build and maintain strong relationships across Microsoft organizations, including Azure Core, devices, networking, and infrastructure.
  • Translate Azure’s workload requirements into AMD technical value propositions—performance, TCO, power efficiency, and scalability.
  • Influence long‑term architecture and platform roadmaps by representing customer needs back to AMD Business Units, Product, and Engineering teams.
  • Partner with AMD engineering, solution architects, and product management to develop competitive proposals, architectural guidance, and proof‑of‑concept strategies.
  • Track, forecast, and report opportunity pipelines, competitive insights, and execution progress across design‑in accounts.
  • Represent AMD in technical and business discussions with Azure capacity planning, service owners, and silicon evaluation teams.
Preferred Experience
  • Proven technical sales, business development, or solution engineering experience involving FPGA, networking, and CPU technologies.
  • Strong knowledge of FPGA architectures, custom silicon programs, and hardware acceleration strategies.
  • Familiarity with hyperscale cloud computing, including cost models, capacity planning, and service‑level requirements.
  • Experience working with or selling into Microsoft Azure or similarly complex cloud platforms.
  • Understanding of Azure 1st‑party SaaS/PaaS workloads, cloud infrastructure, and platform decision cycles.
  • Ability to effectively communicate technical value to engineering leadership and business value to executive stakeholders.
  • Strong collaboration skills across engineering, sales, product, and executive‑level functions.
Bonus Qualifications
  • Prior experience engaging with Microsoft engineering, sourcing, or cloud architecture teams.
  • Knowledge of Azure compute SKUs, virtual machine architecture, hardware acceleration frameworks, or cloud networking.
  • Familiarity with silicon development cycles, custom silicon engagement models, or advanced networking (Smart

    NIC, DPU, AI‑NIC).
  • Technical degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent.
Academic Credentials

Bachelor’s degree or advanced degree preferred (Technical field such as Electrical Engineering, Computer Science, or equivalent experience).

Location

Bellevue, WA

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD…

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