AI Engineering Manager

AI Engineering Manager - Agentic & Applied AI

Location: United States (Remote)

Compensation: $350-420K base + 15% bonus + meaningful equity

Reports to: CTO

We’re working with a rapidly scaling AI startup growing ~10% month-over-month, building production-grade, agentic AI systems. With a Series C on the horizon, they are investing heavily in their core AI platform and multi-agent infrastructure.

This is an opportunity to lead world-class AI teams working on applied AI, applied research, and evaluation systems - building real-world AI agents deployed at scale.

We’re hiring an AI Engineering Manager to lead three AI-focused squads:

• Applied AI
• Applied Research AI

You will start with 5 direct reports, with expected growth to ~10 engineers over the next 12 months (mid-level and senior ICs).

This is a technical leadership role. You won’t be coding day-to-day, but you must deeply understand architecture, model fine‑tuning, and multi‑agent production systems. You will lead by example, run tight standups, and bring technical legitimacy to a team of very smart engineers.

• Lead and scale three AI squads across applied AI, applied research, and evaluation
• Own delivery of agentic AI systems running in production at scale
• Oversee fine‑tuning pipelines, model iteration cycles, and evaluation frameworks
• Guide development of multi‑agent systems
• Ensure production reliability, scalability, and performance
• Drive technical decision‑making across architecture and tooling
• Run disciplined team operations (tight standups, strong execution cadence)

• Experience leading AI/ML engineering teams in production environments
• Hands‑on experience (recent, last 12–18 months) with:
  • Agentic systems
  • AI agents in production
  • Model fine‑tuning workflows
  • Strong architectural depth - must understand the code even if not coding daily
  • Experience operating distributed teams
  • Proven ability to run high‑performing engineering teams

• Experience from AI-native companies or strong AI groups
• High-performing AI startups that have shipped agent-based systems

• A technical AI leader who wants to build, not just research
• Someone who prefers convergence and shipping over academic exploration
• A disciplined operator who can run a tight ship
• Someone excited by hypergrowth and real-world impact