
Senior Product Marketing Manager
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in Kazakhstan.
• Transform k0rdent AI functionalities into effective positioning and messaging tailored for platform engineers and technical buyers.
• Create and disseminate technical blogs, solution briefs, tutorials, case studies, and launch kits.
• Oversee the editorial calendar aligned with campaign and launch schedules.
• Collaborate with engineering, product management, and solution architects to produce content based on PRDs, release notes, reference architectures, and field insights.
• Refine drafts authored by subject matter experts to meet publication standards.
• Develop sales enablement materials, including pitch decks, one-pagers, objection-handling guides, and discovery tools.
• Engage directly with sales and pre-sales teams.
• Generate hands-on content such as walkthroughs, how-to guides, and introductory materials derived from live product workflows.
• Assist the customer proof program through reference interviews, quote and logo approvals, case studies, and testimonials.
• Monitor content performance in terms of traffic, engagement, conversion, pipeline contribution, and usage of sales assets.
• Modify the content mix based on performance analytics.
• Gain insights from actual customer deployments and clarify market misconceptions regarding k0rdent AI.
• Over 6 years of experience in product marketing, technical content marketing, or developer marketing within cloud infrastructure, DevOps, or enterprise software.
• Proven ability to transform a brief, specification, or conversation with a subject matter expert into a final deliverable during a review process.
• Exceptional copywriting and editing skills across both long-form technical narratives and short-form content.
• Capability to elevate drafts from subject matter experts to a publishable standard.
• Proficient understanding of cloud infrastructure, Kubernetes, containers, CI/CD, and on-premises deployment models.
• Basic knowledge of AI infrastructure, including GPU cluster fundamentals, the difference between training and inference workloads, and concepts of scheduling and multi-tenancy.
• Experience in creating sales enablement resources and collaborating with sales and pre-sales teams.
• Familiarity with AEO/SEO principles.
• Background in working with demand generation and marketing operations.
• A portfolio showcasing published technical writing, such as blogs, tutorials, solution briefs, or case studies.
• An inquisitive nature about how AI infrastructure operates.
• Strong collaborative skills with engineers, product managers, and executives.
• Ability to juggle multiple projects and deadlines effectively.
• A passion for developer communities and the cloud-native ecosystem.
• A tendency to prioritize content delivery and rapid iteration.
• Previous experience at a Kubernetes, AI infrastructure, GPU cloud, or AI platform vendor (preferred).
• Experience contributing to developer documentation, tutorials, or sample repositories (preferred).
• Competence with AI-assisted content and design tools (preferred).
• Familiarity with marketing automation, CMS, web analytics, and social media scheduling platforms (preferred).
• Experience mentoring or guiding junior marketing contributors or agency resources (preferred).
• Work in some of the most advanced AI infrastructure environments currently in production.
• Collaborate with cutting-edge NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
• Help establish operational standards and reliability practices for next-gen AI infrastructure services.
• Contribute to the adoption of AI-powered operational capabilities through k0rdent AI.
• Partner with highly skilled engineers tackling complex infrastructure and platform challenges at scale.
• Join a growing organization that is heavily investing in AI infrastructure, platform services, and operational innovation.
• Enjoy a remote work arrangement.
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