Startups · AI

Field CTO

OpenAI · San Francisco · Remote

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About OpenAI

Backed by Greylock, Insight and Khosla.

About the role

As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback.

What they're looking for

  • 15+ years of experience in technical leadership roles
  • Strong background in enterprise architecture, cloud platforms, and modern software systems
  • Experience supporting enterprise sales cycles or working closely with GTM teams
  • Exposure to AI/ML systems, especially LLMs and applied AI use cases, is highly preferred
  • Ability to translate complex technical concepts into clear business value for non-technical stakeholders
  • Strong problem-solving skills with a bias for action and ownership
More about this role

As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback.

This is a highly cross-functional, externally facing leadership role for someone who combines deep technical expertise with strong business acumen and customer empathy.

Partner with Sales, Product and Technical Success teams to support complex, high-value deals as a technical and strategic advisor.

Translate customer business needs into scalable technical solutions and architectures.

Engage with senior customer stakeholders (CTO/CIO/VP-level) to drive alignment on vision, roadmap, and adoption.

Lead technical strategy discussions during key deal stages, including discovery, solution design, and executive presentations.

Guide customers on best practices for deploying and scaling AI-driven solutions in production.

Provide architectural oversight across use cases such as LLM applications, integrations, data pipelines, and...

Read the full posting on OpenAI's site ↗

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