Advisor to the Chief of Staff

Designworks Talent•Bellevue, WA

3d•Hybrid

About The Position

A well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications. Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads. We are seeking an experienced Advisor to the Chief of Staff to serve as a strategic advisor to executive leadership. This is a highly visible role that sits at the intersection of technology strategy, executive decision-making, AI infrastructure, and corporate growth. This opportunity is ideal for a senior technology leader who enjoys solving complex business challenges, evaluating emerging technologies, and influencing executive decisions without managing large engineering teams.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
10+ years of experience in technology leadership, AI, cloud computing, enterprise software, infrastructure, or high-performance computing.
Deep understanding of AI architectures, machine learning, data platforms, cloud infrastructure, distributed systems, and enterprise technology.
Experience advising executive leadership on strategic technology initiatives.
Exceptional communication skills with the ability to translate highly technical concepts into executive-level business recommendations.
Proven ability to influence cross-functional stakeholders in fast-paced, evolving organizations.
Strong analytical, strategic thinking, and problem-solving capabilities.

Nice To Haves

Experience with management consulting, technology strategy consulting, or corporate strategy.
Experience supporting executive leadership, Boards, or C-suite organizations.
Knowledge of hyperscale infrastructure, GPU computing, AI infrastructure, cloud architecture, or enterprise AI platforms.
Familiarity with AI governance, responsible AI frameworks, and U.S. regulatory trends.
MBA or advanced technical degree is a plus.

Responsibilities

Serve as a trusted advisor to executive leadership on strategic technology initiatives.
Translate business priorities into practical technology strategies and execution plans.
Develop executive presentations, briefing materials, strategic recommendations, and decision frameworks.
Identify risks, opportunities, and dependencies across major initiatives.
Evaluate emerging AI technologies, foundation models, machine learning platforms, and infrastructure trends.
Advise leadership on AI deployment strategies, enterprise AI adoption, and large-scale computing environments.
Analyze technology investments supporting AI infrastructure, cloud platforms, and high-performance computing.
Monitor industry trends to identify competitive opportunities and strategic advantages.
Evaluate initiatives involving AI infrastructure, GPU computing, cloud architecture, networking, and hyperscale data centers.
Assess infrastructure economics, scalability, operational efficiency, and long-term investment strategies.
Track developments in power generation, energy infrastructure, grid capacity, and sustainable computing technologies.
Evaluate strategic partnerships, acquisitions, investments, and emerging technologies.
Support technical due diligence and executive decision-making.
Collaborate across engineering, product, finance, operations, legal, and business development teams.
Represent executive leadership in strategic planning discussions with internal and external stakeholders.
Advise on AI governance, responsible AI principles, data privacy, cybersecurity, and regulatory compliance.
Monitor evolving U.S. regulatory requirements affecting artificial intelligence and enterprise technology.
Support development of governance frameworks that enable responsible innovation.