
Global Field CTO
Posted Jul 25

Posted Jul 25
This is a fully remote position, open to applicants in California.
• Position Cornelis Networks as a leading technical authority within the AI, HPC, cloud, sovereign AI, and next-generation datacenter infrastructure sectors.
• Influence customer technology strategies and architectural choices by building trusted advisor relationships.
• Accelerate the adoption of Cornelis networking solutions through technical leadership, advocacy, and engagement with the ecosystem.
• Shape future product directions by engaging directly with customers, partners, and industry leaders.
• Strengthen strategic partnerships with hyperscalers, cloud providers, OEMs, research institutions, and key ecosystem partners.
• Increase market awareness and technical credibility for Cornelis Networks in the fast-evolving AI infrastructure landscape.
• Enhance technical knowledge and customer engagement effectiveness throughout the broader organization.
• Act as a senior technical representative for Cornelis Networks during customer meetings, industry conferences, analyst briefings, webinars, podcasts, and ecosystem events.
• Create and present engaging presentations, demonstrations, technical papers, blogs, and thought leadership content that showcase the value of Cornelis networking solutions.
• Collaborate closely with strategic customers to grasp technical challenges, workloads, infrastructure needs, and long-term technology roadmaps.
• Lead advanced technical discussions with hyperscalers, next-generation cloud providers, OEM partners, research organizations, and enterprise customers.
• Work in tandem with sales, product management, and engineering teams to support strategic opportunities, proof-of-concept activities, pilot deployments, and customer success initiatives.
• Identify emerging market opportunities, technology shifts, competitive threats, and workload trends that can create new growth avenues for Cornelis Networks.
• Serve as a liaison between customers and internal product teams, ensuring that customer requirements and market feedback shape future product directions.
• Provide insights on technology strategy, product roadmaps, performance priorities, architectural choices, and competitive positioning.
• Assist in validating next-generation networking architectures and identifying future requirements for AI training, large-scale inference, and hyperscale infrastructure deployments.
• Mentor and empower field teams on technical positioning, competitive differentiation, customer engagement, and industry trends.
• Over 15 years of experience in networking, datacenter infrastructure, semiconductors, AI, HPC, cloud infrastructure, or related technology sectors.
• In-depth understanding of distributed computing architectures, networking technologies, and large-scale AI or HPC environments.
• Strong expertise in Ethernet, InfiniBand, Ultra Ethernet, RDMA technologies, and modern scale-out networking architectures.
• Knowledge of AI training, large-scale inference, AI factory architectures, GPU clusters, accelerated computing, and emerging datacenter trends.
• Experience interacting with executive leadership, architects, engineering teams, researchers, and technical decision-makers within enterprise, cloud, research, and hyperscale organizations.
• Proven ability to transform intricate technical concepts into clear business and technology value.
• Experience delivering presentations at industry conferences, customer events, analyst briefings, technical forums, or public speaking engagements.
• Established capability to influence product strategy through direct customer engagement and market input.
• Outstanding communication, presentation, and relationship-building skills.
• Willingness to travel globally as necessary.
• Competitive compensation package that includes equity, cash, and incentives.
• Health and retirement benefits.
• Generous paid holidays.
• 401(k) with company match.
• Open Time Off (OTO) for regular full-time exempt employees.
• Sick time, bonding leave, and pregnancy disability leave.
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