Mirantis Logo

Mirantis

Technical Product Marketer - K0rdent AI

Posted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The role involves developing messaging for AI infrastructure products, creating sales materials, and communicating complex technical concepts to various audiences. Responsibilities include competitive analysis, content production, and supporting product launches.
The summary above was generated by AI
Company Description

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. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

https://www.mirantis.com/

Job Description

  • Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.

  • Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers.

  • Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis.

  • Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts.

  • Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service.

  • Support demand generation campaigns with compelling assets aligned to key personas: AI/ML engineers, platform ops teams, and infrastructure decision-makers.

  • Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and ROI frameworks.

  • Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content.

  • Support product launches with go-to-market plans, launch kits, and internal training materials.

  • Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy.

  • Support analyst and media briefings; contribute to Mirantis’ positioning in key industry conversations and reports.

  • Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource.

Qualifications

Required Qualifications

  • 4–7 years of experience in product marketing, technical marketing, or a closely adjacent role (solutions marketing, developer marketing, content strategy) within the cloud infrastructure, DevOps, or enterprise software space.

  • Demonstrated ability to understand and credibly communicate complex technical concepts related to:

    • Kubernetes, container orchestration, and cloud-native platforms

    • AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling

    • Hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure

  • Strong writing and storytelling skills — able to produce clear, engaging content for both technical and business audiences without heavy editing.

  • Experience developing sales enablement materials and working directly with sales and pre-sales teams.

  • Familiarity with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems (e.g., Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp).

  • Comfort working in a fast-paced, distributed environment with a high degree of autonomy. 

Soft Skills and Team Fit

  • Intellectually curious with a genuine interest in how AI infrastructure works under the hood.

  • Strong cross-functional collaborator — comfortable engaging with engineers, product managers, and executives alike.

  • Structured thinker who can manage multiple projects and deadlines without losing narrative coherence.

  • Passion for open source, developer communities, and the cloud-native ecosystem.

  • Entrepreneurial mindset with a bias toward shipping content and iterating quickly.

Nice to Have

  • Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling.

  • Background in or exposure to AI/ML engineering, DevOps, or platform engineering.

  • Prior experience in or familiarity with companies like RunPod, SpectroCloud, Rafay, Anyscale, Hugging Face, Together AI, or Modal.

  • Experience supporting analyst relations or contributing to industry research and reports.

  • CNCF ecosystem knowledge or cloud/Kubernetes certifications a plus.

Additional Information

What does Mirantis offer you?

  • Work with an established Silicon Valley leader in the cloud infrastructure industry.

  • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.

  • Be a part of cutting-edge, open-source innovation.

  • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.

  • Receive a competitive compensation package with strong benefits plan

We are a Leader for Container Management in G2 (#2 after AWS)!

Top Skills

Ai/Ml Infrastructure
AWS
Azure
GCP
Gpu Orchestration
Kubeflow
Kubernetes
Mlflow
Mlops Pipelines
Ray

Similar Jobs

2 Hours Ago
Remote or Hybrid
133K-235K Annually
Mid level
133K-235K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineer, iOS will develop high-performance mobile apps, architect and implement Objective-C software, evaluate technical decisions, and collaborate with design teams while ensuring code quality.
Top Skills: C/C++MetalObjective-COpenglSwift
6 Hours Ago
Remote or Hybrid
118K-174K Annually
Senior level
118K-174K Annually
Senior level
Gaming • Information Technology • Mobile • Software • Esports
The Senior Server Engineer will develop server-side applications, with a focus on performance, distribution, and security in gaming. Responsibilities include optimizing databases and backend code for seamless player experience.
Top Skills: C++Microsoft Sql ServerMySQLPerlPHPPythonRubySQL
6 Hours Ago
Remote
United States
258K-335K Annually
Senior level
258K-335K Annually
Senior level
Artificial Intelligence • Productivity • Software • Automation
Lead and develop a Mid Market Account Executive team to drive new logo acquisition and expansion. Hire, coach, and ramp quota-carrying AEs; oversee pipeline, forecasting, and deal reviews; collaborate cross-functionally to drive adoption, retention, and product-informed go-to-market strategies; and scale repeatable playbooks for horizontal AI orchestration and automation sales.
Top Skills: AIAPIsAutomationHubspotIntegrationsZapier

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account