Manager, AI Catalyst Platform - AI Engineering

Red Hat is seeking a Software Engineering Manager to lead our AI Engineering Rapid Productization team—a fast-moving group focused on transforming breakthrough AI capabilities into scalable, customer-facing products. This high-impact leadership role involves guiding a team of senior engineers to deliver production-grade features built on cutting-edge models with velocity, pragmatism, and product polish.

What You’ll Do

• Lead a team of software engineers to build a platform for AI prototype products, focusing on speed and stability.
• Drive collaboration with AI research, Catalyst, product, and design teams to translate prototypes into production
• Create team practices that prioritize rapid iteration, quality standards, and customer outcomes
• Foster a high-performing, autonomous team culture through coaching, mentorship, and strong technical direction
• Manage timelines, unblock delivery, and ensure work aligns with cross-functional product goals
• Champion DevOps, CI/CD, and security practices for robust AI delivery workflows
• Help define and scale internal tooling and frameworks to accelerate the AI productization lifecycle
  
  

What You’ll Bring

• 6+ years of software engineering experience, including 4+ years in engineering leadership roles
• Proven track record of shipping production systems at scale
• Strong background in backend development (Python, Go, or similar) and cloud platforms (AWS, GCP, Azure)
• Ability to lead in ambiguous, fast-changing environments and prioritize impact over polish
• Excellent communication skills and cross-functional alignment instincts
• A builder mindset—excited by 0→1 delivery, creative problem solving, and rapid experimentation
  
  

Nice to have

• Experience launching AI-driven products or internal platforms from prototype to production
• Hands-on experience with LLMs, generative AI, or machine learning-powered applications
• Familiarity with tools like LangChain, vector databases (Pinecone, Weaviate), or RLHF pipelines
• Background in AI systems observability, evaluation frameworks, or in-product feedback loops
  
  

Why join us?

This team will play a critical role in bringing AI innovation to life - bridging cutting-edge research and customer needs in a way that’s fast, secure, and grounded in real-world use. If you’re energized by building with urgency and leading teams that move from idea to impact quickly, we’d love to talk.

#AIHiring

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

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