Tensordyne (formerly Recogni) is building the next generation of AI inference infrastructure for hyperscalers, neoclouds, and large enterprise operators. Our 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. Tensordyne partners with the world’s largest cloud providers to bring this technology to global production environments.
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.
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.
What You’ll Do
- 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
Ideal Candidate
- 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
Bonus: - Experience with hyperscalers, neoclouds, or enterprise AI platform launches is a plus.
Why This Role
- 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
Tensordyne's culture was built on the following values:
- Put people first. We only succeed when our people succeed.
- Ethics and integrity always; Being open, honest, and respectful of everyone.
- Think Big. Be ambitious and have audacious goals.
- Aim for excellence. Quality and excellence count in everything we do.
- Own it and get it done. Results matter!
- Make each person better together, than they would be as an individual.
- Embrace each others’ differences, and embrace that there will be differences.
Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
Tensordyne Sunnyvale, California, USA Office
1195 Bordeaux Dr, Sunnyvale, California, United States, 94089 1210
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
