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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.
We’re looking for a hands-on sales leader who can build meaningful relationships with developers, startups, and enterprise customers alike. You understand the importance of developer sales and their role in scaling up to an enterprise sale. Every customer is important, big and small. In this role, you’ll connect the dots between cutting-edge compute, AI technology and real-world customer needs — helping clients unlock value while driving Tenstorrent’s growth. You’ll partner closely with DevRel, Product, Marketing, and Customer Success to surface insights and coordinate excellent experience end to end.
This role is remote, with a preference for San Francisco, Austin, or New York.
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
- Understand that the pitch is just the beginning of an E2E experience
- Experienced sales professional with a strong technical foundation in compute and AI.
- Confident communicator who can tell the story of complex technology to any audience.
- Driven relationship builder who thrives in both start-up and enterprise environments.
- Goal-oriented and motivated by exceeding targets and creating lasting customer impact.
What We Need
- Understand customer challenges and position the value of Tenstorrent’s compute and AI solutions.
- Act as a trusted advisor, offering technical insights and tailored recommendations.
- Build and grow relationships with customers of all sizes while identifying new opportunities.
- Collaborate with cross-functional teams to develop strategies and meet revenue goals.
- Someone who is as comfortable with spreadsheets and entering SFDC data, as they are in the room with potential customers
What You Will Learn
- How to throw out the old playbook and drive strategic growth in the rapidly evolving compute and AI ecosystem.
- Deeper technical expertise in both hardware and software aspects of AI architecture.
- Insights into developer-first sales approaches that shape product adoption.
- Best practices for scaling customer success across a global, innovation-driven company.
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.
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