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Manager, AI Engineering

H2O.ai

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At a glance

Highlights

  • Lead GenAI and ML delivery to help customers ship real AI projects.
  • Architect value-based AI solutions from data ingestion to deployment.
  • Manage and mentor AI engineers driving customer success and growth.

What they offer

  • Market-leading total rewards
  • Remote-friendly, flexible working environment
  • World-class team with career growth opportunities

Ideal candidate

Consultative, customer-obsessed AI leader who loves advising clients, storytelling with data, and coaching engineers to deliver real-world GenAI impact.

Requirements

  • Bachelor's/Master's in Computer Science, Mathematics, Physics, Engineering, Statistics or related quantitative field
  • Minimum 5 years pre-sales GenAI/ML sales engineering experience in customer-facing role
  • Strong Python and ML libraries expertise with end-to-end ML pipeline deployment
  • Experience with cloud architectures (AWS, Azure, GCP) and Kubernetes
  • Excellent verbal and written communication with consultative selling skills
  • Self-starter comfortable traveling up to 50%
remote policy
remote-friendly

Lab profile

About H2O.ai

Leading agentic AI company converging generative and predictive AI for private-data agents and SLMs

What they build

  • Purpose-built AI agents
  • Small language models (SLMs)
  • GenAI applications for private data

Known for

  • Sovereign AI deployments
  • Secure and compliant AI
  • Infrastructure-flexible platform
  • Open-source technology

Key facts

  • Founded in 2012
  • Technology trusted by 20,000+ organizations
More about H2O.ai →
Apply on the lab’s site ↗

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