Define the strategy, roadmap, and feature priorities for k0rdent AI Kubernetes services, empowering Neocloud operators to launch managed Kubernetes on their own GPU infrastructure.
Translate requirements from NeoClouds, GPU clouds, telcos, and enterprise platform teams into clear product direction and partner with engineering to ship secure, scalable cluster lifecycle capabilities.
Manage the Kubernetes backlog, define positioning and competitive differentiation, and create field-facing assets to support strategic accounts.
Build the technical product marketing function for the Provider business, creating collateral like white papers, reference architectures, and demo environments.
Directly support pipeline development by partnering with sales and solution architects through technical storytelling and proof-points.
Develop competitive intelligence and represent Mirantis as a credible technical voice on GPU infrastructure and sovereign AI.
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. It empowers platform engineering teams across any environment with a strong benefits plan and professional development.
Design and build LLM serving infrastructure on Kubernetes, including deployment, GPU scheduling, and model lifecycle management.
Package the platform for enterprise environments with Helm-based installs and support for restricted or offline networks.
Integrate the serving layer with API gateway, identity, and metering services, and build observability for GPU inference in production.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable infrastructure for AI and data-intensive applications. It is part of an IREN company and empowers platform engineering teams with open-source innovation and deep expertise in Kubernetes orchestration.
Own the vision, roadmap, and priorities for k0rdent AI observability across the full stack: GPU compute, networking, storage, and workload schedulers.
Translate requirements from diverse customers into clear product direction and partner with engineering to define requirements.
Manage the observability backlog using feedback from production deployments and design partners to refine priorities.
Mirantis is a Kubernetes-native AI infrastructure company that enables organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI workloads. It is a distributed team committed to openness and technical excellence.
Partner with Head of Product and engineering leadership to define technical direction and product strategy.
Conduct hands-on validation of alpha and beta builds to catch integration issues before customers.
Engage directly with platform engineers at AI Cloud operators and regulated enterprises to drive market positioning.
vCluster Labs is a venture-backed startup pioneering Kubernetes virtualization for the AI era. With over $30M in funding and a remote-first culture, the company is in hyper-growth phase, building the leading platform for operating GPU infrastructure.
Own a defined product area end-to-end, from customer discovery and problem validation through delivery, launch, adoption, and iteration.
Engage regularly with platform engineers, DevOps teams, and customers to understand production challenges and identify opportunities.
Partner with design and engineering to prioritize initiatives, define requirements, and coordinate launch readiness across teams.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They operate with a focus on fairness, objectivity, and efficient candidate evaluation.
Build and deploy production code to support customer AI inference workloads on Tenstorrent's hardware and software stack.
Debug and optimize across the full inference stack, from serving layer to kernel dispatch, and translate customer issues into actionable requirements.
Operate Kubernetes and observability tools to manage multi-node AI clusters and ensure reliability.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. Their diverse team of technologists has developed a high-performance RISC-V CPU from scratch, and they value collaboration, curiosity, and a commitment to solving hard problems.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.
Lead product engagement with strategic AI infrastructure customers to define requirements and drive execution from discovery to production readiness.
Collaborate cross-functionally with engineering, infrastructure, and operations teams to deliver customer-ready solutions.
Translate complex customer needs into clear product priorities, technical specifications, and scalable AI infrastructure offerings.
Vultr provides high-performance cloud infrastructure solutions, including Cloud Compute, GPU, Bare Metal, and Storage, with 33 global data centers. It is a privately-held company valued at $3.5 billion, trusted by hundreds of thousands of customers across 185 countries, and known for its self-funded growth and inclusive culture.
Own, operate and evolve our Cloud and Kubernetes based Platform.
Collaborate with Product teams to enable and empower them to build and own their services.
Build tooling and AI powered integrations that reduce cognitive load of complex infrastructure operations.
AlphaSense provides AI-driven market intelligence and search to help companies remove uncertainty from decision-making. Founded in 2011, the company has over 2,000 employees globally and is headquartered in New York City.
Design and deliver significant components and core subsystems of our Kubernetes platform, such as secrets management, workload identity, storage, or cluster networking, from design through production operation.
Contribute to the architecture of distributed workloads, working with dependent teams to get runtime and isolation models right, while spending most time hands-on in code.
Own operability of built systems including SLOs, failure modes, upgrades, migrations, and on-call, and mentor earlier-career engineers.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow to help 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture where technology and talent are unstoppable together, with a focus on freeing people from busywork.
Design, build, and operate Kubernetes infrastructure for AI workloads using Terraform and GitOps.
Define SLOs, run incident response, and create runbooks for reliable AI platform operations.
Drive AI-specific observability, FinOps, and security practices across the platform.
We are an AI-native consulting partner working with clients like PayPal, adidas, and NatWest to build digital products and services. Our team of over 600 has scaled quickly, earning Great Place to Work-Certified status multiple years in a row.
Design and implement advanced batch scheduling architectures using frameworks like Volcano or YuniKorn to support multi-node gang scheduling.
Develop and manage cluster-wide admission control and sophisticated job queueing mechanisms utilizing Kueue to manage high-volume AI workload traffic.
Collaborate with GPU Systems and Storage teams to ensure the scheduling layer is tightly integrated with bare-metal hardware and storage I/O patterns.
Bitdeer provides comprehensive Bitcoin mining solutions and AI computational infrastructure. The company operates globally with data centers in multiple countries and focuses on AI and blockchain technology.
Define and lead platform engineering strategy across complex, multi-environment cloud systems.
Architect scalable Kubernetes platforms, own IaC standards, and drive DevSecOps implementation.
Mentor engineers, partner with leadership on infrastructure direction, and lead complex migrations.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers for enterprise operations. Founded in 2009, with delivery centers in Canada, the US, Eastern Europe, and Latin America, we are a nimble team of senior engineers averaging 15+ years of experience.
Design and advance core infrastructure for multi-cloud Kubernetes clusters and developer toolchains.
Automate operations and engineering tasks to improve productivity and reliability.
Build machine learning infrastructure to enable AI teams to train and deploy large-scale models.
Cresta provides an AI platform that transforms customer conversations into competitive advantages by combining conversational AI, real-time agent augmentation, and conversation intelligence. The company has raised over $270 million from top investors like a16z, Greylock, and Sequoia, and is led by AI industry veterans.
Lead technical enablement programs for partners to implement Chainguard solutions.
Partner with alliances and channel teams to drive joint strategies and mutual growth.
Develop and maintain partner-facing technical content including integration guides and reference architectures.
Chainguard provides hardened, secure, and production-ready builds of open source software. They are a venture-backed company with customers including Fortune 500 enterprises and global industry leaders.
Design and maintain CI/CD and MLOps pipelines for AI and software applications, ensuring seamless deployment and automation.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters to support high-performance AI workloads.
Champion Infrastructure as Code and observability practices to ensure high availability, security, and compliance across multi-cloud environments.
Bitdeer is a world-leading technology company providing AI and Bitcoin mining infrastructure. Headquartered in Singapore, the company has a global presence with data centers in multiple countries and a culture focused on innovation and reliability.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Design, build, and operate components of the Kubernetes platform and its core subsystems end to end.
Write and review Go code for controllers, operators, platform services, and automation.
Help operate the platform, including on-call, incident investigation, and follow-up work to prevent recurrence.
ServiceNow provides an AI platform for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent collaborate.
Design and build a managed Slurm service on Kubernetes
Write clean, reliable, and maintainable Go code, developing scheduling and orchestration for GPU workloads
Build observability and automated remediation for GPU, node, network, and control-plane failures
Gcore provides infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences worldwide. With over 550 professionals, they build and support the global digital ecosystem.
Provide solutions to customers to make them successful using our products.
Troubleshoot customer environments and engage in active triaging with customers.
Participate in on-call rotation for weekend coverage.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life with its unified DataOps platform, Astro, powered by Apache Airflow. Trusted by more than 800 enterprises, the company fosters a diverse and inclusive culture as an equal opportunity employer.