Director, AI Infrastructure & Strategic Partnerships

SingleStore

4d•$120,000 - $175,000

About The Position

SingleStore is seeking a global, executive-level, field-facing technologist to shape its AI infrastructure strategy and accelerate strategic partnerships and customer adoption. The role calls for deep expertise in the infrastructure needed to deploy, operate, and scale production AI, especially inference and agentic AI workloads. This position combines technical leadership, ecosystem development, and direct participation in strategic field pursuits. The Director works across business development, sales, product management, engineering, and marketing to connect real-world AI requirements with differentiated solutions, product priorities, and market positioning. The role focuses on technical relationships and joint opportunities involving AI platforms, ISVs and infrastructure partners; sovereign cloud providers; and neocloud providers. SingleStore describes itself as a venture-backed company headquartered in San Francisco, with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin, and Kyiv. The company values diversity and inclusion and offers roles in a variety of U.S. locations. The stated U.S. base salary range for this role is $120,000–$175,000 per year; salary depends on permissible factors such as skills, experience, and geographic location. Certain roles may also be eligible for merit increases and annual bonuses.

Requirements

Significant experience in senior technical leadership roles, such as Field CTO, Chief Architect, Distinguished Engineer, or an equivalent customer-facing position.
Demonstrated experience taking AI workloads from experimentation into production, with a strong understanding of inference and agentic AI infrastructure requirements.
Deep knowledge of enterprise infrastructure, including accelerated computing, storage and data platforms, networking, Kubernetes, and distributed systems.
Ability to diagnose performance bottlenecks and explain tradeoffs among latency, throughput, resilience, scalability, and cost.
Experience building technical partnerships with AI platforms, ISVs, infrastructure vendors, or cloud providers.
Understanding of sovereign cloud requirements, including data residency, deployment control, security, and operational autonomy.
Proven ability to influence product and engineering priorities through customer and partner insight.
Strong executive communication skills and ability to connect technical architecture to business outcomes.
Willingness to travel internationally for strategic partner and customer engagements.

Responsibilities

Build trusted relationships with partner and customer CTOs, architects, engineering leaders, and AI infrastructure teams.
Work with business development to establish technical alignment, define joint value propositions, and develop integration, validation, and go-to-market plans for strategic partnerships.
Partner with sales and technical teams on high-priority opportunities, leading architecture discussions, technical workshops, proofs of value, and executive presentations.
Guide infrastructure designs for inference, retrieval-augmented generation, and agentic workflows, addressing compute, storage, networking, data access, orchestration, security, reliability, and cost.
Work with product management and engineering to identify capability gaps, prioritize AI-related requirements, and inform roadmap decisions using evidence from customer and partner engagements.
Collaborate with marketing on technically credible positioning, solution narratives, reference architectures, presentations, and thought leadership.
Equip field and partner teams with technical guidance, validated architectures, and practical deployment patterns that enable repeatable solutions.
Represent the company as an executive technical spokesperson at partner events, industry conferences, customer briefings, and technical forums.
Travel internationally for strategic partner and customer engagements.