Agent Engineering Manager

Tolan is building personal AI that helps people think, reflect, and take action in their real lives.

Over the last year, we’ve grown to more than 130,000 paying users, with industry-leading metrics across engagement, retention, and customer NPS. We’ve raised from some of the world’s leading AI investors, including Khosla Ventures, Lachy Groom, Homebrew, Mike Krieger, and others.

The Role

We're hiring an Agent Engineering Manager to break down ambiguous problems, delegate to agents, review their work critically, and course-correct when things go sideways. This isn't a management position — you won't have direct reports. But you'll need every skill that made you a great engineering manager. You'll design and operate complex agent orchestration systems, develop patterns for human-agent collaboration, and ship real product features primarily through agent-assisted development.

This is a role we're creating for the first time as of January 2026. Over the past 3 months we've observed a step-function change in the reliability and capabilities of long-running AI agents. We've re-oriented our own work around this new reality, and our most effective engineers now spend more time orchestrating agents than writing code directly. We're certainly not the only people adjusting to this new reality — Karpathy's recent thoughts resonate with what we've been experiencing.

What You'll Do

• Break down ambiguous product problems into concrete, well-scoped tasks for agents to execute.

• Delegate to AI agents, review their output critically, and course-correct when things go sideways.

• Design and operate complex agent orchestration systems that ship real product features.

• Develop and document patterns for effective human-agent collaboration across the team.

• Help Tolan's engineering practice evolve as the capabilities of long-running agents continue to improve.

Who We're Looking For

• Experienced engineer. You have 5+ years of software engineering experience, with meaningful time spent in engineering management or tech lead roles.

• Skilled delegator. You know how to scope work and give feedback that improves output — skills honed managing people, now applied to agents.

• Hands-on with AI. You have direct experience with AI coding assistants and agent orchestration.

• Strong opinions. You know when to use agents and when to do it yourself.

• Thrives in ambiguity. You have a knack for turning fuzzy goals into concrete, executable tasks.

• Agent-first mindset. You genuinely enjoy the "managing agents" workflow and see it as the future of building.

Bonus points if you:

• Have built or contributed to agent orchestration tooling.

• Have written publicly about AI-assisted development workflows.

• Have experience with long-running, multi-step agent systems.

• Left management because you missed building, but still miss the parts of management that were about clarity and leverage.

Compensation: $200,000-300,000 base salary + equity + benefits