Engineering Manager (TLM, Agents)

United States Digital Space LLC; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Tech Lead Manager to lead and grow its Agents engineering team in San Francisco, California. The ideal candidate will have strong AI expertise and engineering management skills to enhance the product capabilities for millions of users.

Responsibilities include providing technical leadership, developing AI models, overseeing hiring, and guiding product roadmaps. Candidates should possess a solid background in AI product stack and strong organizational skills.

Qualifications

• 8+ years of engineering experience, with at least 3 years as an engineering manager.
• Hands-on technical experience with frontier AI models.
• Experience managing engineering teams including talent retention.

Responsibilities

• Provide technical leadership across multiple layers of a rapidly growing product.
• Drive product reliability, code quality, and AI evaluation.
• Oversee hiring, onboarding, and mentorship for the engineering team.

Skills

AI product stack familiarity

Proficiency in Python

Strong product intuition

Experience with Machine Learning models

Strong organizational skills

Tools

TypeScript

Go

Rust

Job description

The company is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.

As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including:

• Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users.
• Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives.
• Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding.
• Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities.
• Designing optimal data representations and modes of interaction between agents and their environments.
• And more.

Responsibilities

• Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
• Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
• Exercise sharp technical and product intuition to guide the team’s system architectures and product roadmaps.
• Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
• Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
• Interface with the company co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.

Qualifications

• Strong foundational familiarity with the full AI product stack.
• Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
• Domain expertise in at least one of the following areas:
  • Context engineering and tool interfaces for frontier AI models.
  • Post-training and reinforcement learning (particularly for multimodal models).
  • Browser technologies (CDP, Playwright, extension development, etc.).
• Strong product intuition and taste for user experience excellence.
• Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better).
• Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical.
• Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.
• 8+ years of engineering experience, with at least 3 of those years as an engineering manager.