Senior Enterprise Sales Executive, Tensordyne

AI Inference Infrastructure

Salary not provided

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Sunnyvale, CA

Next-generation AI inference systems

Open for applications

Next-generation AI inference systems

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Open for applications

Salary not provided

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Sunnyvale, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Company mission

To build AI math, chips, hardware, and software from the zeroth layer up, rewriting the numbers so intelligence flows with a fraction of today's energy and cost.

Job

Company

Role

Who you are

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

Desirable

Bonus: - Experience with hyperscalers, neoclouds, or enterprise AI platform launches is a plus

What the job involves

This is a rare opportunity to join one of the most innovative AI infrastructure startups at a pivotal inflection point, as our platform moves from development to market launch
We’re hiring a hunter-minded enterprise sales executive to drive adoption of Tensordyne’s AI inference platform across large enterprise customers, with a focus on on-prem, private cloud, and hybrid deployments
You’ll own the full enterprise sales cycle and work closely with engineering and leadership to bring a disruptive platform to market
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

Our take

The AI industry is growing fast, but it's also running into a big problem: power. LLMs need huge amounts of energy, adn the more compute you add, the higher the costs and technical challenges. Hyperscalers, cloud providers, and AI startups all face the same question, how to scale AI efficiently without wasting power. And the search for smarter, more efficient solutions is becoming critical.

Tensordyne, formerly Recogni, began as a maker of automotive edge chips but quickly pivoted to focus on data center AI. The team realized that the future of AI would be defined by large-scale inference, where efficiency and scalability matter most. Their approach goes beyond hardware tweaks, using a logarithmic math system that slashes energy use while improving accuracy, making AI faster, cheaper, and more sustainable.

LLMs and data center AI are consuming massive amounts of power, and this is becoming a real concern. Tensordyne's efficient hardware and innovative logarithmic math can cut energy use drastically while keeping performance high, helping ensure AI can grow sustainably without overloading costs or the environment.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

6% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 3 rounds)

Feb 2024

$102m

SERIES C

Feb 2021

$48.9m

SERIES B

Total funding: $175.9m

Company HQ

Sunnyvale, CA

Leadership

RK Anand

(Co-Founder & CPO)

RK comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.

Marc Bolitho

(CEO)

Marc previously spent over 6 years at ZF Group in various roles, including Senior VP and GM of ADAS Business Unit. Prior to that, he spent nearly 22 years at TRW Automotive in roles including Chief Engineer and GM and Engineering DIrector of Global Passive Safety Electronics.

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