AI Enablement & Developer Tooling Lead

Rocket

Detroit (MI)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Rocket is seeking a Software Engineering Manager for AI Enablement and Developer Tooling in Detroit. You will lead a team that builds tooling, accelerators, and shared systems to help engineers ship AI-powered software efficiently.

You will stay hands-on, review code, and raise the bar on observability and production readiness, while partnering with security, product, and leadership to align AI strategy and infrastructure investments.

Qualifications

  • Led a team whose output was consumed by other engineering teams
  • Experience managing technical teams, hiring, and setting technical direction
  • Strong depth in distributed systems, cloud infrastructure, or software delivery
  • Hands-on coding ability and ability to reason through problems in a codebase
  • Credible understanding of production AI: LLMs, RAG, model APIs, evaluation, governance, cost
  • Proven ability to create clarity in ambiguous spaces and drive ownership
  • Excellent communication and cross-team influence with engineers, security, product, and executives

Responsibilities

  • Lead, mentor, and grow a team owning AI enablement, developer tooling, and accelerators
  • Stay hands-on: review code, prototype, and set engineering quality bar by example
  • Build internal tools, automation, workflows, and reference implementations to boost productivity
  • Drive adoption of AI capabilities and production-ready guidance across teams
  • Raise the bar on observability, resilience, and reduction of operational toil
  • Turn ambiguous problems into clear ownership and measurable outcomes with leadership alignment

Skills

Team leadership
Distributed systems
Cloud infrastructure
Hands-on coding
AI/LLM familiarity
Communication
Cross-team influence

Job description

Rocket is seeking a Software Engineering Manager for AI Enablement and Developer Tooling in Detroit. You will lead a team that builds tooling, accelerators, and shared systems to help engineers ship AI-powered software efficiently.

You will stay hands-on, review code, and raise the bar on observability and production readiness, while partnering with security, product, and leadership to align AI strategy and infrastructure investments.

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