AI Solutions GTM Manager

Tenstorrent

Boston, Santa Clara, Austin (MA, CA, TX)

Hybrid

USD 100,000 - 500,000

Full time

14 days+
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Job summary

Tenstorrent, a leader in AI hardware and software, seeks a Manager, Applications & Solutions GTM to translate deep technical capability into clear, compelling value across industries. You will bridge product, sales, and marketing to shape market voice and customer solutions.

The role is hybrid or remote, based in the United States, with compensation practices reflecting market norms and experience levels.

Qualifications

  • Experienced at connecting complex AI/ML systems to real customer outcomes and business value.
  • Comfortable acting as a technical storyteller for developers, architects, and executive audiences.
  • Naturally curious and forward-looking about customer workloads, competitive dynamics, and emerging AI trends.
  • Ownership of GTM positioning and messaging for Tenstorrent’s AI hardware, software stack, and solutions.
  • Development of application- and vertical-specific value propositions across enterprise, cloud, and regulated markets.

Responsibilities

  • Ownership of GTM positioning and messaging for Tenstorrent’s AI hardware, software stack, and solutions.
  • Development of application- and vertical-specific value propositions across enterprise, cloud, and regulated markets.
  • Value proposition & GTM strategy, including creation of technical collateral (whitepapers, sales decks, benchmarks, demos, and customer success stories).
  • Close partnership with product, engineering, sales, and marketing to align roadmap, launches, and field enablement.

Skills

Customer outcomes
Technical storytelling
AI/ML trends

Job description

Tenstorrent, a leader in AI hardware and software, seeks a Manager, Applications & Solutions GTM to translate deep technical capability into clear, compelling value across industries. You will bridge product, sales, and marketing to shape market voice and customer solutions.

The role is hybrid or remote, based in the United States, with compensation practices reflecting market norms and experience levels.

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