2 months ago
Saratoga, CA, USAStaff+
Responsibilities
- Lead solutions architecture for the company’s most strategic hyperscaler opportunities.
- Drive customer-facing technical strategy from initial engagement through architecture definition, design review, proof of concept, and deployment planning.
- Conduct technical discovery, workshops, whiteboarding sessions, architecture reviews, and executive presentations.
- Develop end-to-end network architectures for hyperscaler AI infrastructure, including scale-up, scale-out, and scale-across networks.
- Partner with Sales, Product, the CTO/Architecture organization, and Engineering to align customer requirements with product direction.
- Build relationships with senior technical and business stakeholders and own account-management activities for assigned hyperscaler customers.
- Identify whitespace opportunities and support account plans, competitive strategy, opportunity prioritization, and multi-phase adoption paths.
- Represent customer requirements internally, including product gaps, deployment blockers, and roadmap priorities.
- Create repeatable network architecture blueprints, presentations, and technical position papers.
- Help define early go-to-market motions for new infrastructure products.
Requirements
- 12+ years of experience in networking, systems engineering, solutions architecture, or technical business development.
- Strong experience with large cloud, hyperscale, or web-scale infrastructure environments.
- Deep data center networking expertise, including leaf-spine, dragonfly and optical torus architectures, routing and switching at scale, L2/L3 design, EVPN/VXLAN, BGP, traffic engineering, resiliency, and operations.
- Strong understanding of networking requirements for AI/ML clusters and distributed compute infrastructure supporting large-scale training and inference.
- Deep understanding of frontier-model communication patterns, parallelism strategies, and their implications for AI network design.
- Experience leading complex strategic-account technical engagements, including architecture reviews, design discussions, proofs of concept, and executive presentations.
- Demonstrated credibility with engineering teams and senior decision-makers in customer-facing settings.
- Ability to combine technical architecture, customer strategy, and commercial judgment.
- Strong written and verbal communication skills and the ability to produce high-quality external-facing technical materials.
- Background in both pre-sales architecture and strategic account development.
- Experience helping define early go-to-market motions for new infrastructure products.
- Ability to operate as a senior individual contributor in an ambiguous, fast-moving, early-stage or growth-stage environment.
Benefits
- The starting base salary will be determined based on relevant skills, experience, qualifications, work location, market trends, and comparable employee compensation; no specific amount is stated.
- Opportunity to shape AI infrastructure and work with a world-class team on technology for AI data centers.
Categories
Solutions Engineering
