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Andrii Bidochko
  • Updated: April 2, 2026
  • 2 min read

Zep AI Announces New Hiring Wave Across Engineering, Developer Relations, and GTM Roles

Zep AI Expands Team with Multiple Open Positions

Zep AI, the fast‑growing context‑engineering platform backed by Y Combinator, has opened a series of new job opportunities spanning engineering, developer relations, and go‑to‑market functions. The company is looking for talent to help scale its AI‑driven platform that enables developers to build, test, and ship AI applications faster.

Key openings include:

  • Forward Deployed Engineer – A senior engineering role focused on integrating Zep’s platform into enterprise environments. Candidates should have 5+ years of experience in AI/ML infrastructure and a strong track record of delivering production‑grade solutions.
  • Developer Relations Lead – A community‑focused position responsible for building relationships with developers, creating technical content, and driving adoption of Zep’s open‑source engine.
  • Founding GTM (Go‑to‑Market) Lead – A strategic role to shape the company’s market positioning, partner ecosystem, and sales strategy as Zep scales its customer base.

All roles list competitive salary ranges, equity participation, and a clear emphasis on remote‑first work culture. Zep AI highlights its rapid growth metrics, including a 300% increase in platform usage over the past year and a vibrant open‑source community that now boasts over 10,000 contributors.

For a full view of the listings and detailed role descriptions, visit the original Zep AI jobs page.

Read related insights on tech hiring trends and AI platform development on our site: AI Hiring Trends at UBOS Tech and Understanding Context Engineering.

Stay tuned for more updates as Zep AI continues to expand its team and push the boundaries of AI development.


Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.

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