AI Engineering Manager
Storm2
- New York, New York, United States
- New York, New York, United States
À propos
Location:
United States (Remote)
Compensation:
$350-420K base + 15% bonus + meaningful equity
Reports to:
CTO
About the Company 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.
The Role 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.
What You’ll Do
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)
What We’re Looking For Core Requirements
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
Ideal Background
Experience from AI-native companies or strong AI groups
High-performing AI startups that have shipped agent-based systems
Who This Is For
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
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Compétences linguistiques
- English
Avis aux utilisateurs
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