Director, AI Infrastructure – Strategic Partnerships

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

📋 Description

• Define the strategy for SingleStore's AI infrastructure and enhance strategic partnerships along with customer adoption.

• Cultivate technical relationships and collaborative opportunities with AI platforms, ISVs, infrastructure partners, sovereign cloud providers, and neocloud providers.

• Establish trusted connections with partner and customer CTOs, architects, engineering leaders, and AI infrastructure teams.

• Achieve technical alignment, articulate joint value propositions, and formulate integration, validation, and go-to-market strategies.

• Collaborate with sales and technical teams on strategic initiatives, leading discussions on architecture, technical workshops, proofs of value, and presentations for executives.

• Direct the design of production AI infrastructure for inference, retrieval-augmented generation, and agentic workflows.

• Address infrastructure design considerations including compute, storage, networking, data access, orchestration, security, reliability, and cost.

• Convert customer and partner requirements into product specifications and roadmap priorities.

• Work closely with marketing on positioning, solution narratives, reference architectures, presentations, and thought leadership initiatives.

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

• Serve as SingleStore’s executive technical spokesperson at partner events, industry conferences, customer briefings, and technical forums.

• Success is evaluated through validated partnerships, a qualified pipeline, technical achievements, production deployments, product priorities, reference architectures, field enablement, and market messaging.

⛳️ Requirements

• Extensive experience in senior technical leadership positions, such as Field CTO, Chief Architect, Distinguished Engineer, or a similar customer-facing role.

• Proven track record of transitioning AI workloads from experimentation to production.

• Strong comprehension 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.

• Capability to identify performance bottlenecks and articulate trade-offs among latency, throughput, resilience, scalability, and cost.

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

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

• Demonstrated ability to influence product and engineering priorities using insights from customers and partners.

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

• Willingness to travel internationally for strategic partner and customer interactions.

🏝️ Benefits

• Additional rewards, including merit increases and annual bonuses.

• Comprehensive total compensation and benefits package.