Sr. Sales Executive - Hyperscale & Cloud

About the role

Tensordyne (formerly Recogni) is building the next generation of AI inference infrastructure for hyperscalers, neoclouds, and large enterprise operators. Its log‑math–based architecture delivers breakthrough inference performance with radically lower energy consumption and total cost of ownership, enabling a new class of scalable, sustainable AI services. The company partners with the world’s largest cloud providers to bring this technology to global production environments. This is a hybrid role based in Sunnyvale, CA, with regular time spent in customer meetings and on‑site engagements. You’ll own the full enterprise sales cycle and work closely with engineering and leadership to bring a disruptive platform to market.

Responsibilities

• Own and close enterprise AI infrastructure deals end‑to‑end
• Open new enterprise accounts and expand existing large enterprise relationships
• Lead technical evaluations and POCs with customer and internal teams
• Engage senior technical and executive stakeholders
• Help shape early GTM strategy as the product launches

Requirements

• 5–10 years selling enterprise infrastructure, compute, or AI platforms
• Proven track record as a hunter, opening new enterprise accounts while leveraging existing large enterprise relationships to accelerate deals
• Experience with on‑prem / private cloud / hybrid AI deployments
• Strong technical fluency in AI workloads and modern datacenter architectures
• Comfortable in early‑stage environments with visibility and ownership

Qualifications

• Experience with hyperscalers, neoclouds, or enterprise AI platform launches is a plus
• Background in sales functions within BTC mining, quantitative/trading, or pharmaceutical industries is welcome

Benefits

• Be part of the launch of a fundamentally new AI inference platform
• Sell step‑function gains in performance, efficiency, and cost
• Work directly with top‑tier engineers redefining AI hardware
• Build deep expertise in the fastest‑growing segment of AI infrastructure