Senior Technical Product Marketing Manager, k0rdent AI - Remote
for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections are present.
We have:
- Company Description (maybe "About the company"? Not required heading? Could be "About the role"? Actually "About the role" is typical heading for role description. We have Job Description with responsibilities. So we can have About the role
with paragraphs describing responsibilities.
- Qualifications: we have Required qualifications and Soft Skills And Team Fit and Nice To Have. Could combine into Requirements and Skills? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Skills). So we can have "Responsibilities" for duties, "Requirements" for required qualifications, "Skills" for nice-to-have? Or "Qualifications" for required, "Skills" for nice-to-have. We'll decide.
- Benefits: Additional Information includes "We Offer:" bullet list. That's benefits.
- Pay and Schedule: Not mentioned, so we should NOT include those sections.
We must not repeat job title as heading. No Job ID.
We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, etc. There's none.
We need to use - for any list of duties/requirements/benefits, and
for prose.
We need to output only HTML fragment.
Let's extract content.
Company Description: paragraph about Mirantis. Could be placed under maybe "About the company"? Not in allowed headings list. But we could put it under "About the role"? Actually "About the role" is for role description. Company description could be placed as a
before sections? The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect those headings only. But we can include a brief intro paragraph without heading? Probably okay. However they said "Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." That suggests we should use those headings for sections. We could have a leading
for company description, then sections.
Responsibilities: from Job Description bullet-like sentences. We'll turn into
- .
Qualifications: Required qualifications list.
Skills: Nice To Have list.
Benefits: Additional Information "We Offer:" bullet list.
Let's extract details.
Company Description paragraph:
"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. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com."
Job Description paragraphs:
First paragraph: "Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on. You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management. As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings. The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations."
Then "Job Description:" heading then list of responsibilities:
- Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials (NCP, NCX) for platform engineers and infrastructure architects.
- Build and maintain the technical demo portfolio, including live demos, recorded walkthroughs, and supporting lab environments spanning bare-metal provisioning, GPU cluster handoff, and AI workload deployment.
- Lead technical competitive analysis, including hands-on evaluation of competing platforms and emerging neocloud control planes.
- Translate engineering and field data into defensible technical claims across cluster turn-up time, provisioning success rate at node scale, NCCL and fabric benchmark results, GPU utilization and allocation efficiency, failure-domain behavior, and multi-tenant isolation.
- Engage directly with customers and prospects in technical deep dives and architecture reviews, alongside sales engineering and solution architects.
- Enable sales engineering and solution architects with POC success criteria and test plans, discovery guides, and sizing and TCO models.
- Support analyst and technical media briefings (Gartner, Forrester, S&P Global/451 Research, Omdia, technical press, podcasts), and present at conferences such as KubeCon, NVIDIA GTC, and RAISE.
- Deliver structured roadmap input to product management based on POC patterns, recurring technical objections, and competitive loss analysis.
Qualifications:
"Required qualifications: 6+ years across technical product marketing, technical marketing engineering, solutions architecture, or infrastructure engineering, including externally facing technical content. Solution architects and TMEs moving into marketing are encouraged to apply.
Hands-on Kubernetes competence, including cluster operation, CRDs and controllers, and troubleshooting.
Depth in bare-metal and accelerated infrastructure across several of: server provisioning and lifecycle, InfiniBand and RoCE fabrics, GPU node provisioning and health, NVIDIA GPU Operator and MIG, DPUs, and data center power and cooling constraints.
Working knowledge of the AI infrastructure stack, including inference serving (e.g., vLLM, TensorRT-LLM, NIM), training and scheduling (e.g., Slurm, Soperator), and MLOps tooling (e.g., Kubeflow, Ray).
Experience presenting to and fielding questions from infrastructure architects and technical buyers.
Portfolio of published technical writing, including white papers, or technical blogs.
Willingness to travel for customer engagements and industry events."
Soft Skills And Team Fit:
"Curious about how AI infrastructure works.
Strong cross-functional collaborator, comfortable with engineers, product managers, and executives.
Manages multiple projects and deadlines.
Passion for developer communities and the cloud-native ecosystem.
Bias toward shipping content and iterating quickly."
Nice To Have:
"Background in GPU-as-a-service, neocloud, HPC, or hyperscaler infrastructure, as an operator or a vendor to them.
Direct NVIDIA ecosystem experience, including NCP and NCX certification programs, DGX/HGX and GB200/GB300 NVL-class systems, BlueField DPUs, and Spectrum-X or Quantum fabrics.
Familiarity with Cluster API, bare metal provisioning, k0s, k3s, Talos, or comparable cluster lifecycle tooling.
Exposure to sovereign AI, regulated-industry, or public-sector infrastructure procurement.
Record of accepted conference sessions or a body of published technical writing."
Additional Information "We Offer:" bullet list:
- Operate some of the most advanced AI infrastructure environments in production today.
- Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
- Help define operational standards and reliability practices for next-generation AI infrastructure services.
- Influence the adoption of AI-powered operational capabilities through k0rdent AI.
- Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
- Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.
- #Remote (maybe remote work)
- We are a Leader for Container Management in G2 (#2 after AWS)! (maybe a note)
We need to include these as benefits.
Now produce HTML.
We'll start with a
for company description.
Then
About the role
maybe containing the Job Description paragraph(s) before the list? Actually the "Job Description" includes both narrative and list. We could put the narrative in under About the role, then
Responsibilities
with - list.
Alternatively combine narrative and list under About the role. But instruction: prefer few substantive sections over many thin ones. We could have About the role (including responsibilities narrative) and Responsibilities separate? Might be thin. Better: About the role includes the narrative description of what you will do; Responsibilities includes the bullet list. That's two sections.
Qualifications: we could have
Qualifications
with required qualifications list (maybe also include soft skills as part of Qualifications? Could separate Skills). We'll do Qualifications for required, Skills for nice-to-have.
Benefits: Benefits
with list.
We must not include Pay or Schedule.
Now ensure we preserve all substantive information: include all bullet points exactly as given.
We need to be careful not to lose any details.
Let's craft.
HTML:
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. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.
About the role
Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on. You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management. As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings. The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations.
for prose. We need to output only HTML fragment. Let's extract content. Company Description: paragraph about Mirantis. Could be placed under maybe "About the company"? Not in allowed headings list. But we could put it under "About the role"? Actually "About the role" is for role description. Company description could be placed as a
before sections? The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect those headings only. But we can include a brief intro paragraph without heading? Probably okay. However they said "Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." That suggests we should use those headings for sections. We could have a leading
for company description, then sections. Responsibilities: from Job Description bullet-like sentences. We'll turn into
- .
Qualifications: Required qualifications list.
Skills: Nice To Have list.
Benefits: Additional Information "We Offer:" bullet list.
Let's extract details.
Company Description paragraph:
"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. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com."
Job Description paragraphs:
First paragraph: "Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on. You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management. As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings. The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations."
Then "Job Description:" heading then list of responsibilities:
- Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials (NCP, NCX) for platform engineers and infrastructure architects.
- Build and maintain the technical demo portfolio, including live demos, recorded walkthroughs, and supporting lab environments spanning bare-metal provisioning, GPU cluster handoff, and AI workload deployment.
- Lead technical competitive analysis, including hands-on evaluation of competing platforms and emerging neocloud control planes.
- Translate engineering and field data into defensible technical claims across cluster turn-up time, provisioning success rate at node scale, NCCL and fabric benchmark results, GPU utilization and allocation efficiency, failure-domain behavior, and multi-tenant isolation.
- Engage directly with customers and prospects in technical deep dives and architecture reviews, alongside sales engineering and solution architects.
- Enable sales engineering and solution architects with POC success criteria and test plans, discovery guides, and sizing and TCO models.
- Support analyst and technical media briefings (Gartner, Forrester, S&P Global/451 Research, Omdia, technical press, podcasts), and present at conferences such as KubeCon, NVIDIA GTC, and RAISE.
- Deliver structured roadmap input to product management based on POC patterns, recurring technical objections, and competitive loss analysis.
Qualifications:
"Required qualifications: 6+ years across technical product marketing, technical marketing engineering, solutions architecture, or infrastructure engineering, including externally facing technical content. Solution architects and TMEs moving into marketing are encouraged to apply.
Hands-on Kubernetes competence, including cluster operation, CRDs and controllers, and troubleshooting.
Depth in bare-metal and accelerated infrastructure across several of: server provisioning and lifecycle, InfiniBand and RoCE fabrics, GPU node provisioning and health, NVIDIA GPU Operator and MIG, DPUs, and data center power and cooling constraints.
Working knowledge of the AI infrastructure stack, including inference serving (e.g., vLLM, TensorRT-LLM, NIM), training and scheduling (e.g., Slurm, Soperator), and MLOps tooling (e.g., Kubeflow, Ray).
Experience presenting to and fielding questions from infrastructure architects and technical buyers.
Portfolio of published technical writing, including white papers, or technical blogs.
Willingness to travel for customer engagements and industry events."
Soft Skills And Team Fit:
"Curious about how AI infrastructure works.
Strong cross-functional collaborator, comfortable with engineers, product managers, and executives.
Manages multiple projects and deadlines.
Passion for developer communities and the cloud-native ecosystem.
Bias toward shipping content and iterating quickly."
Nice To Have:
"Background in GPU-as-a-service, neocloud, HPC, or hyperscaler infrastructure, as an operator or a vendor to them.
Direct NVIDIA ecosystem experience, including NCP and NCX certification programs, DGX/HGX and GB200/GB300 NVL-class systems, BlueField DPUs, and Spectrum-X or Quantum fabrics.
Familiarity with Cluster API, bare metal provisioning, k0s, k3s, Talos, or comparable cluster lifecycle tooling.
Exposure to sovereign AI, regulated-industry, or public-sector infrastructure procurement.
Record of accepted conference sessions or a body of published technical writing."
Additional Information "We Offer:" bullet list:
- Operate some of the most advanced AI infrastructure environments in production today.
- Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
- Help define operational standards and reliability practices for next-generation AI infrastructure services.
- Influence the adoption of AI-powered operational capabilities through k0rdent AI.
- Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
- Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.
- #Remote (maybe remote work)
- We are a Leader for Container Management in G2 (#2 after AWS)! (maybe a note)
We need to include these as benefits.
Now produce HTML.
We'll start with a
for company description. Then
About the role
maybe containing the Job Description paragraph(s) before the list? Actually the "Job Description" includes both narrative and list. We could put the narrative inunder About the role, then
Responsibilities
with- list.
Alternatively combine narrative and list under About the role. But instruction: prefer few substantive sections over many thin ones. We could have About the role (including responsibilities narrative) and Responsibilities separate? Might be thin. Better: About the role includes the narrative description of what you will do; Responsibilities includes the bullet list. That's two sections.
Qualifications: we could have
Qualifications
with required qualifications list (maybe also include soft skills as part of Qualifications? Could separate Skills). We'll do Qualifications for required, Skills for nice-to-have. Benefits:Benefits
with list. We must not include Pay or Schedule. Now ensure we preserve all substantive information: include all bullet points exactly as given. We need to be careful not to lose any details. Let's craft. HTML: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. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.
About the role
Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on. You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management. As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings. The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations.
- list.
Alternatively combine narrative and list under About the role. But instruction: prefer few substantive sections over many thin ones. We could have About the role (including responsibilities narrative) and Responsibilities separate? Might be thin. Better: About the role includes the narrative description of what you will do; Responsibilities includes the bullet list. That's two sections.
Qualifications: we could have