Engineering Manager, Production Engineering

Engineering Manager, Production Engineering Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We're looking for a hands-on Engineering Manager to lead our Production Engineering team, where you'll split your time between driving reliability improvements and leading a team of SREs embedded across Crusoe's AI infrastructure offerings. You'll own the production health of the services Crusoe delivers to enterprise customers, including Kubernetes, Inference, and AutoClusters, partnering closely with embedded engineering teams to raise the bar on operational excellence, automation, and customer experience. What You'll Be Working On: - Leading and growing a team of SREs embedded within Crusoe's AI product areas, setting technical direction and fostering a culture of ownership and continuous improvement - Contributing as an IC — reviewing code, building tooling, and driving automation to reduce toil and improve the reliability and scalability of production services - Owning SLA/SLO performance, incident response, and on-call health for service offerings; leading blameless post-mortems and driving systemic remediation - Partnering with embedded product and platform engineering teams to influence infrastructure design, observability strategy, and operational readiness for new and existing services - Defining and tracking reliability, performance, and operational maturity metrics across the team; translating data into prioritized roadmap investments - Serving as a technical escalation point for high-severity production incidents affecting enterprise customers, and collaborating with Cloud Support and Customer Success on resolution and communication What You'll Bring to the Team: - 5+ years of software or infrastructure engineering experience, with at least 1–2 years in an engineering management or tech lead role - Strong SRE or production engineering background — hands-on experience with incident management, SLO frameworks, runbooks, and on-call operations - Solid coding ability; comfortable writing production-grade code in Go, Python, or similar languages to build tooling and automation - Experience working with or embedding into cross-functional product teams, and influencing engineering decisions across organizational boundaries - Familiarity with container orchestration and cloud-native infrastructure — Kubernetes, distributed systems, and cloud service architectures - Strong communication skills — able to clearly represent technical risk and operational status to both engineering peers and business stakeholders Bonus Points: - Experience with GPU infrastructure, AI/ML workloads, or inference serving platforms - Background in HPC orchestration tools such as Slurm or Ray - Prior experience at a cloud provider, AI infrastructure company, or hyperscaler - Familiarity with Crusoe's infrastruct ... (truncated, view full listing at source)