Frontier Agent Engineering Manager, Enterprise
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 14H AGO
Infrastructureonsitemanager
At a glance
Highlights
- Lead deployment of production AI agents for strategic enterprise customers.
- Architect multi-agent systems orchestrating models, tools and data sources.
- Partner directly with customers to integrate AI into critical workflows.
Ideal candidate
A customer-obsessed engineering leader who thrives in ambiguity and loves bringing AI into production. You enjoy leading teams, solving real enterprise problems, and bridging cutting-edge research with business impact.
Requirements
- 5+ years of software engineering experience with 3+ years of management experience
- Strong fundamentals in data structures, algorithms, and system design
- Production Python expertise with modern ML/AI frameworks (LangChain, LlamaIndex, HuggingFace, OpenAI API)
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
- Ability to navigate ambiguous requirements and rapidly iterate toward solutions
- Excellent communication skills explaining complex concepts to technical and non-technical audiences
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta