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Founding Technical GTM Lead

Cua· GTM / Sales
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Hybrid (San Francisco, CA, US)$150k - $200k + equityFull-timePosted 1mo ago

About the role

Founding GTM role focused on building and leading go-to-market for a deeply technical AI/agent infrastructure product, reporting directly to the founders, with ownership of the commercial cycle and potential to shape the product roadmap and GTM organization.

Responsibilities

  • Identify the highest-value customer profiles and use cases for Cua.
  • Build relationships with AI labs, model providers, agent startups, and companies deploying computer-use agents.
  • Own the full commercial cycle: sourcing, discovery, demos, technical evaluation, pilots, negotiation, closing, onboarding, and expansion.
  • Work with customers to design deployments involving Cua Driver, computer fleets, evaluation environments, or trajectory data.
  • Shape and bring new agent products built on Cua Driver to market.
  • Connect our open-source ecosystem, agent products, and infrastructure into a coherent customer journey.
  • Turn early customer projects into repeatable offerings, messaging, pricing, case studies, and sales processes.
  • Create technical demos and content that show developers what they can build with Cua.
  • Represent Cua in the agent-development community and develop relationships with potential partners.
  • Bring clear, structured customer feedback into product and engineering decisions.
  • Establish our first useful GTM systems for pipeline, forecasting, customer health, and pricing feedback.
  • Help determine which GTM roles we should hire next.

Qualifications

  • - You've sold, deployed, or brought to market a deeply technical product.
  • - You understand developer tools, infrastructure, AI/ML systems, data platforms, or enterprise software.
  • - You can hold a detailed conversation with engineers and researchers while staying focused on the business outcome.
  • - You've personally sourced opportunities, run discovery, designed pilots, negotiated, and closed.
  • - You're comfortable getting technical enough to build a demo, inspect an API, or debug a customer integration.
  • - You learn quickly from customers and turn ambiguous feedback into clear action.
  • - You communicate exceptionally well in writing, presentations, demos, and technical conversations.
  • - You can create lightweight systems without introducing unnecessary process.
  • - You're comfortable working with an early product whose positioning and packaging will evolve.
  • - You want ownership of a company-building problem, rather than a predefined sales territory.

Skills

Required:Deep technical product sellingDeveloper tools / AI/ML systems / data platforms / enterprise softwareDemos and technical evaluationSales cycle ownershipCommunication
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About Cua

Docker for Computer-use Agents

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

open-source
Company profileWebsite

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