Enterprise AI Engineering Manager Deploy & Integrate

Scale AI, Inc.; San Francisco (CA); On-site; USD 252,000 - 315,000; Full time

Benefits offered by this job

Health benefits

Equity

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. seeks a Forward Deployed AI Engineering Manager on our Enterprise team to serve as the technical bridge between Scale AI's AI capabilities and strategic customers.

You will lead a team that designs and deploys AI solutions, work directly with customer engineering teams, and ensure successful adoption of AI systems in production environments. This management role combines deep engineering and AI expertise, guiding multi-disciplinary teams and translating customer needs into

Qualifications

• 5+ years of software engineering experience with 3+ yrs of management experience.
• Production Python expertise with modern ML/AI frameworks.
• Experience with cloud platforms and modern data infrastructure.
• Strong problem-solving skills and ability to iterate quickly.
• Excellent communication skills for technical and non-technical audiences.

Responsibilities

• Partner with enterprise customers to understand technical infrastructure and data pipelines.
• Design and implement custom integrations between Scale AI's platform and customer environments.
• Build ETL pipelines to ingest and prepare data for AI workflows.
• Deploy and configure AI models and agents within security/compliance boundaries.
• Lead a team and collaborate with customer data scientists, ML engineers, and software developers.

Skills

Software engineering

Python production

Problem solving

Communication

LLMs & prompting

AI agents in production

Vector databases

Open-source contributions

Tools

LangChain

LlamaIndex

HuggingFace

OpenAI API

AWS

GCP

Azure

Job description

Scale AI, Inc. seeks a Forward Deployed AI Engineering Manager on our Enterprise team to serve as the technical bridge between Scale AI's AI capabilities and strategic customers.

You will lead a team that designs and deploys AI solutions, work directly with customer engineering teams, and ensure successful adoption of AI systems in production environments. This management role combines deep engineering and AI expertise, guiding multi-disciplinary teams and translating customer needs into