Director, AI Infrastructure – Strategic Partnerships

This is a fully remote position, open to applicants in United States.

📋 Description

• Foster trusted relationships with CTOs, architects, engineering leaders, and AI infrastructure teams from both partners and customers.

• Collaborate with business development to ensure technical alignment, articulate joint value propositions, and devise integration, validation, and go-to-market strategies.

• Team up with sales and technical groups on high-priority initiatives, leading architecture discussions, technical workshops, proofs of value, and executive presentations.

• Direct infrastructure designs for inference, retrieval-augmented generation, and agentic workflows.

• Address considerations such as compute, storage, networking, data access, orchestration, security, reliability, and cost within production AI architectures.

• Partner with product management and engineering to pinpoint capability gaps, prioritize AI-related needs, and guide roadmap decisions.

• Collaborate with marketing to create technically sound positioning, solution narratives, reference architectures, presentations, and thought leadership materials.

• Provide field and partner teams with technical guidance, validated architectures, and practical deployment patterns.

• Act as an executive technical spokesperson at partner events, industry conferences, customer briefings, and technical forums.

⛳️ Requirements

• Extensive experience in senior technical leadership roles, such as Field CTO, Chief Architect, Distinguished Engineer, or a comparable customer-facing position.

• Proven experience transitioning AI workloads from experimentation to production.

• Strong grasp of the requirements for inference and agentic AI infrastructure.

• In-depth knowledge of enterprise infrastructure, including accelerated computing, storage and data platforms, networking, Kubernetes, and distributed systems.

• Ability to identify performance bottlenecks and articulate tradeoffs among latency, throughput, resilience, scalability, and cost.

• Experience in establishing technical partnerships with AI platforms, ISVs, infrastructure vendors, or cloud service providers.

• Understanding of sovereign cloud requirements, encompassing data residency, deployment control, security, and operational autonomy.

• Demonstrated capability to influence product and engineering priorities based on insights from customers and partners.

• Excellent executive communication skills, capable of linking technical architecture to business outcomes.

• Willingness to travel internationally for key partner and customer engagements.

🏝️ Benefits

• Additional rewards, including merit increases and annual bonuses.

• Comprehensive total compensation and benefits package.

• Commitment to diversity and inclusion.