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Scale AI

Frontier Agent Engineering Manager, Enterprise

Scale AI · San Francisco, CA; New York, NY

Posted about 3 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Scale AI's roles stay open a median of 80 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
215 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Frontier Agent Engineering Manager on the Enterprise team at Scale AI, you will act as a technical bridge between the company's AI capabilities and enterprise clients. Your role involves leading a team to design and implement custom AI solutions, ensuring successful deployment and integration into customer workflows. You will also be responsible for developing AI agents, optimizing prompt engineering strategies, and collaborating with customers to address their unique challenges.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • 5+ years of software engineering experience
  • 3+ years of management experience
  • Strong fundamentals in data structures, algorithms, and system design
  • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong problem-solving skills

Nice to have

  • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
  • Experience building and deploying AI agents or autonomous systems in production
  • Knowledge of vector databases and semantic search systems
  • Contributions to open-source AI/ML projects
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

Worth weighing

  • No specific details on team size or structure provided
  • Salary range is broad and dependent on various factors
  • Role may involve complex problem-solving in ambiguous situations
  • 90-day waiting period for reconsideration of candidates for the same role

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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