Forward Deployment Engineering Manager
New
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NebiusCloud AI Infrastructure
You're welcome to work remotely in the United States.Full-TimeManager
Salary225,800 - 281,000 USD per year
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Job Details
- Experience
- 8+ years of hands-on engineering experience; 2+ years managing or leading a team of engineers
- Required Skills
- DockerPythonGitKubernetesLangChain
Requirements
- 8+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure.
- 2+ years managing or leading a team of engineers, with a track record of developing technical talent.
- Deep working knowledge of the AI developer stack including LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines.
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent.
- Strong Python programming skills and comfort prototyping end-to-end AI systems.
- Experience defining reference architectures and technical patterns.
- Proven ability to move from idea to working prototype quickly under time pressure.
- Experience building integrations across APIs and developer platforms.
- Strong technical communication skills for both internal stakeholders and external founding CTOs.
Responsibilities
- Hire, develop, and retain a team of Forward Deployed Engineers across agentic, inference, infrastructure, and data focus areas.
- Set clear expectations for technical quality and provide actionable coaching for team growth.
- Review and elevate team outputs including integration architectures, proofs of concept, and partner scoping assessments.
- Serve as a technical escalation point and contribute hands-on to complex partner engagements.
- Represent Nebius at hackathons and in open source communities by building public demos and reference architectures.
- Translate field insights into actionable product requirements for internal platform teams.
- Work with ISV, SI, and field teams to drive solution adoption and revenue.
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