Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building an open future for AI compute. We build RISC-V CPUs, Tensor AI processors, and open-source software that help unlock the next generation of AI innovation. As Cloud Sales Director, you will build the go-to-market motion for neoclouds, serverless inference providers, model-as-a-service platforms, edge networks, and capacity aggregators. You will own this segment from the first customer conversation through production deployment and revenue growth. This is a zero-to-one opportunity with a direct connection to Product, Engineering, Field Applications, and Marketing, and the ability to shape how Tenstorrent reaches a fast-changing cloud market. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced enterprise cloud seller with a record of building pipeline, developing account strategies, and closing complex opportunities against strategic sales goals. Deeply familiar with neoclouds, cloud consumption models, capacity commitments, and the business drivers shaping AI infrastructure adoption. Technically fluent across modern AI and cloud workloads, including training, inference, data and analytics, HPC, databases, and cloud-native applications, with the ability to engage both architects and executives. A consultative, low-ego builder who can translate technical differentiation into business value, influence without authority, and create momentum in a new market. Experience selling accelerated compute, silicon, AI infrastructure, or open-source software is a plus. What We Need Someone to own the full cloud sales cycle, from discovery and technical evaluation through commercial negotiation, close, workload adoption, and production revenue. Identify the workloads and customer use cases where Tenstorrent can deliver differentiated performance, efficiency, scalability, flexibility, and total cost of ownership. Build and maintain account plans, pipeline, forecasts, and opportunity data, using market intelligence and AI-enabled tools to focus effort on the highest-potential accounts. To partner closely with Product, Engineering, Field Applications, Marketing, and internal sales teams to deliver customer-specific solutions and turn successful engagements into a repeatable segment playbook. What You Will Learn How cloud and enterprise customers evaluate and deploy AI workloads on next-generation semiconductor architectures, and what it takes to move workloads from incumbent platforms. How technical insight becomes purchasing decisions, strategic IT plans, capacity commitments, and consumption-based commercial models. To build and scale an enterprise go-to-market motion inside a fast-growing AI semiconductor company. How customer feedback and market intelligence shape product priorities, roadmap decisions, and the economics of AI infrastructure. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Requirements

Must-haves

An experienced enterprise cloud seller with a record of building pipeline, developing account strategies, and closing complex opportunities against strategic sales goals.
Deeply familiar with neoclouds, cloud consumption models, capacity commitments, and the business drivers shaping AI infrastructure adoption.
Technically fluent across modern AI and cloud workloads, including training, inference, data and analytics, HPC, databases, and cloud-native applications, with the ability to engage both architects and executives.
What We Need
Someone to own the full cloud sales cycle, from discovery and technical evaluation through commercial negotiation, close, workload adoption, and production revenue.
Identify the workloads and customer use cases where Tenstorrent can deliver differentiated performance, efficiency, scalability, flexibility, and total cost of ownership.
Build and maintain account plans, pipeline, forecasts, and opportunity data, using market intelligence and AI-enabled tools to focus effort on the highest-potential accounts.
To partner closely with Product, Engineering, Field Applications, Marketing, and internal sales teams to deliver customer-specific solutions and turn successful engagements into a repeatable segment playbook.
What You Will Learn
How cloud and enterprise customers evaluate and deploy AI workloads on next-generation semiconductor architectures, and what it takes to move workloads from incumbent platforms.
How technical insight becomes purchasing decisions, strategic IT plans, capacity commitments, and consumption-based commercial models.
To build and scale an enterprise go-to-market motion inside a fast-growing AI semiconductor company.
How customer feedback and market intelligence shape product priorities, roadmap decisions, and the economics of AI infrastructure.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

Platform: greenhouse
Effort: quick