MTS, Technical Solutions Sales Architect

Overview

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Micron is seeking a Technical Solutions Sales Architect to handle first technical interactions with strategic customers. This position helps build wins for Micron’s data retention and storage technologies across AI, cloud, and data‐center platforms.

This role combines deep system‐level technical expertise with executive presence, market influence, and commercial competence. You will work directly with NeoCloud, AI, and GPU customers—including customer architects, engineers, executives, and ecosystem partners—to convert next‐generation workload requirements into differentiated Micron solutions, build platform decisions well ahead of revenue, and develop ongoing technical relationships that accelerate adoption at scale.

This is a very senior technical leadership role dedicated to working directly with customers. It includes responsibility for strategic influence, engaging with executives, aligning ecosystems, and impacting the design‐win pipeline with key AI infrastructure customers.

What Success Looks Like

• NeoCloud, AI, and GPU customers view you as a trusted senior technical advisor and strategic partner, engaging you early in architecture, roadmap, and platform decisions.
• Micron solutions are positioned as strategic enablers for next‐generation AI and accelerated computing platforms, with influence established early enough to shape customer architectures and long‐term roadmaps.

Key Responsibilities

• Lead early technical discovery with NeoCloud, AI, and GPU customers to understand workloads, accelerated system architectures, deployment models, and business objectives.
• Translate customer requirements into end‐to‐end Micron solution architectures, spanning memory, storage, and system‐level design considerations.
• Influence customer platform and architectural decisions 12–24 months prior to revenue by crafting technical direction with senior engineering leaders, architects, and business decision‐makers.
• Develop and articulate technical differentiation, including performance, scalability, reliability, and total cost of ownership (TCO).
• Partner closely with Account Managers, Executives, Product Teams, and senior customer collaborators to align technical strategy with commercial priorities and long‐term strategic account plans.
• Support value selling and proposal development through executive‐level technical communication.
• Collaborate multi‐functionally with Product Management, Engineering, Business Units, and Field Application Engineers to bring forward customer requirements, influence product direction, and ensure strong alignment from early architecture through deployment.
• Maintain access to design‐win pipeline, technical risks, and achievements.
• Provide ongoing engagement to support solution sustainment, refresh planning, and follow‐on opportunities.
• Translate NeoCloud, AI, and GPU customer workload requirements into Micron solution roadmaps and ecosystem engagement priorities.
• Shape customer preference toward Micron products.
• Act as a senior technical liaison to customer decision‐makers, ecosystem partners, and Micron leaders to drive alignment, influence strategy, and deepen long‐term technical partnerships.

Key Work

• Customer‐specific solution architectures, technical proposals, and engagement strategies tailored for NeoCloud, AI, and GPU platform priorities.
• Clear technical value propositions tied to customer outcomes.
• Executive‐level presentations, architecture reviews, and strategic technical engagements that influence customer direction and strengthen long‐term partnership.
• Actionable customer feedback influencing product direction.
• Successful handoff of designs into qualification and deployment.
• Enablement to Sales and Customer Engineering on technology and trends.
• Design wins converting into measurable pipeline and revenue impact.
• Technical clarity reduces customer friction and accelerates time‐to‐decision.
• Solutions scale across platforms and customers, not just single engagements.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or equivalent experience.
• 15+ years of experience in solutions architecture, systems architecture, technical sales engineering, or customer‐facing technical leadership roles.
• Strong understanding of data‐center systems, including GPU‐accelerated compute, memory, storage, networking, and software stacks used in AI and large‐scale cloud deployments.
• Proven ability to communicate complex technical concepts to both technical and executive audiences.

Preferred Qualifications

• Deep experience with AI infrastructure, hyperscale or NeoCloud environments, GPU platforms, or large‐scale accelerated computing ecosystems.
• Familiarity with emerging system architectures and memory/storage technologies.
• Proven success influencing customer build decisions, platform roadmaps, and executive collaborators within strategic cloud, AI, or accelerated computing accounts.

Compensation

The total compensation salary range that Micron estimates it could pay for this full‐time position is $0.00 – $0.00 per year. The salary range represents the total target compensation (TTC), including base salary and a variable performance‐based component. The base salary accounts for 80% for Field Application roles.

Benefits

In addition to base pay, the remuneration package also includes eligibility for a variable plan subject to the personal achievement of objectives and the company's performance, and benefits such as meal vouchers, corporate welfare, yearly allowance of remote working days, supplementary health insurance, life coverage, and Employee Assistance Program.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Remuneration is determined by objective criteria, regardless of gender and of any other factor protected by applicable federal, state, or local laws.