Forward Deployment Engineering Manager
New
N
NebiusCloud AI Infrastructure
You're welcome to work remotely in the United States.Full-TimeManager
SalaryStarting Base Compensation Range: $225,800 - $281,000 USD
Apply NowOpens the employer's application page
Job Details
- Experience
- 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
- Required Skills
- DockerPythonKubernetesMLOpsLangChain
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 quickly.
- Experience defining reference architectures and technical patterns.
- Proven ability to move from idea to working prototype fast.
- Experience building integrations across APIs and developer platforms.
- Comfort working across external partner engineering teams and internal platform teams.
- Strong technical communication skills for both technical and non-technical stakeholders.
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 coach engineers to maintain high standards.
- Review and elevate team outputs such as integration architectures, proofs of concept, and partner scoping assessments.
- Serve as a technical escalation point for complex partner engagements and step in hands-on when necessary.
- Represent Nebius at technical events and build in public with demos and reference architectures.
- Translate field insights into actionable product requirements for internal platform teams.
- Engage strategically with partner engineering leaders and founding CTOs.
View Full Description & ApplyYou'll be redirected to the employer's site
