Source Job

• Develop and maintain core messaging, positioning, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.
• Translate technical capabilities like GPU orchestration and MLOps into compelling narratives for practitioners, platform engineers, and executives.
• Produce high-quality technical content including solution briefs, white papers, blog posts, and enable sales teams with battlecards and objection-handling guides.

Mirantis is a Kubernetes-native AI infrastructure company that enables organizations to build scalable, secure, and sovereign infrastructure for AI and data-intensive workloads. The company fosters a culture of openness, collaboration, risk-taking, and continuous growth, working with passionate colleagues to help Fortune 500 customers implement next-generation cloud technologies.

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Mentor and support AI Infrastructure & Platform Operations Engineers, sharing technical knowledge through documentation and training.

Mirantis helps organizations ship code faster on public and private clouds, providing a public cloud experience on any infrastructure from the data center to the edge. The company serves many of the world's leading enterprises, including Adobe, DocuSign, Liberty Mutual, and PayPal, and is a leader in container management.

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve technical issues.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure infrastructure for AI and data-intensive applications. The company is growing and invests heavily in AI infrastructure and platform services.

• Lead investigation and resolution of complex infrastructure, networking, and platform incidents.
• Provide technical leadership for Kubernetes platform operations and drive automation initiatives.
• Mentor engineers and develop operational standards, runbooks, and best practices.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Serving enterprises like Adobe, PayPal, and Volkswagen, Mirantis is committed to open standards and freedom from lock-in.

• Lead engineers deploying, operating, and optimizing AI compute clusters at scale.
• Oversee cluster reliability, GPU fleet operations, and incident response.
• Coordinate with cross-functional teams to ensure cluster capabilities meet AI workloads.

Vultr makes high-performance cloud infrastructure easy to use, affordable, and locally accessible for global enterprises and AI innovators. It is the world’s largest privately-held cloud infrastructure company, trusted by hundreds of thousands of customers across 185 countries.

• Own go-to-market execution for k0rdent Enterprise, including positioning, messaging, sales enablement, and competitive materials.
• Partner directly with sales teams to support customer meetings, strategic accounts, and close deals with repeatable talk tracks.
• Track pipeline, conversion, and deal velocity to drive revenue responsibility and feed insights back into product and roadmap conversations.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. As a collaborative, globally distributed team that values innovation, autonomy, and impact, they empower platform engineering teams with open-source solutions.

• Set the vision and roadmap for the Tailscale dataplane, including WireGuard behavior, DERP relay expansion, and client-side networking.
• Define performance and reliability as customer-facing product requirements, and own connectivity product strategy end to end.
• Partner with GTM, Customer Success, and Solutions Engineering on production traffic commitments and strategic enterprise deals.

Tailscale builds software that securely interconnects people and devices, creating an easy-to-use, secure internet experience. Founded in 2019, the fully distributed company is backed by Accel, CRV, Insight, Heavybit, and Uncork Capital, and serves teams of all sizes.

• Translate Megaport's platform capabilities into clear, deployable architectures for enterprise customers.
• Develop detailed reference architectures and deployment blueprints across connectivity, compute, and storage solutions.
• Partner with Product and Engineering teams to create field-ready technical enablement materials.

Megaport is the global leader in Network as a Service (NaaS), enabling businesses to connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture that values curiosity and teamwork.

• Act as the primary NVIDIA AI Enterprise and vector database expert for HyperPOD customer environments, owning end-to-end triage across GPU, NVAIE services, and storage.
• Author and maintain support triage runbooks, diagnostics bundles, and collaborate on observability dashboards for platform health and RAG metrics.
• Build hands-on labs, PoCs, and reusable technical assets to accelerate support readiness and partner success.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. They are a global company with strong innovation, customer-centricity, and a team of passionate professionals committed to shaping the future of AI and data management.

• Define and own the architectural roadmap for enterprise, data center, and cloud networks.
• Co-author secure design and lifecycle management of high-performance data center networking.
• Build an AI-agent based analysis framework for network changes and self-improvement.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds. The company partners with top model labs, global enterprises, and AI-native startups, including OpenAI, and has a non-corporate work culture that values continuous learning and growth.

• Troubleshoot and resolve issues in customer environments based on Linux, OpenStack, Kubernetes, and networking technologies, owning escalations end-to-end.
• Reproduce customer issues in labs, confirm bug reports, and collaborate with the development team to improve product stability.
• Communicate with customers during incidents via email and remote sessions, guiding them through troubleshooting and resolution processes.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. With deep expertise in open source and Kubernetes, Mirantis empowers platform engineering teams across enterprises worldwide.

• Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
• Drive reliability, monitoring, automation, and incident response for AI infrastructure.
• Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.

Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.