Director of Product Marketing – GTM Narrative

🕒 March 6

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ClearML

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

ClearML is an AI infrastructure and MLOps platform that helps organizations manage the full AI/ML lifecycle—from development and experiment tracking to large-scale GPU orchestration and GenAI deployment. Its three-layer offering (Infrastructure Control Plane, AI Development Center, and GenAI App Engine) enables enterprises to provision and optimize on-prem, cloud, and hybrid GPU resources, enforce multi-tenancy and access control, handle billing, and deploy LLMs with integrated tooling for data ingestion, monitoring, and CI/CD. Open-source roots and SaaS capabilities make it a tool for IT, DevOps, and AI teams aiming to scale model development and production securely and cost-effectively.

📋 Description

• We’re looking for a Director of Product Marketing to tell ClearML’s story to educate the market. • This is a strategic and executional role: you’ll define how we position the platform, map and influence the buyer journey and build the content engine that carries our message to the right audiences at the right moments. • You’ll operate at the intersection of AI infrastructure, market strategy, and high-quality content, shaping narratives that resonate with infrastructure admins and IT leaders. • You’ll develop the product marketing scaffolding that gives our content effort direction - buyer journey maps, ICP frameworks, positioning, and sales enablement architecture, and then drive execution against it. • That means building and running a repeatable content flywheel that transforms technical SME inputs into polished, audience-ready assets, owning an industry monitoring cadence that lets us move quickly on market moments, and making sure every piece of content we produce has a clear buyer purpose. • This role is roughly 70% strategy and execution across product marketing and content operations, and 30% hands-on writing of the highest-impact content yourself.

🎯 Requirements

• 10+ years of experience in product marketing, with strong content strategy and execution capabilities in a senior or lead capacity • Required: Firsthand professional experience in the AI infrastructure industry with experience marketing to IT leaders and engineers. You understand the components of AI infrastructure (such as Kubernetes, virtualization, and networking) and what buyers care about • Required: Demonstrated ability to develop platform positioning and messaging frameworks, build buyer journey maps, and use those frameworks to drive content strategy, pushing back on requests that don’t serve a buyer need • Required: Proven track record building or operating a GTM content engine — taking technical SME inputs and converting them into polished, distributed market-facing assets across multiple formats • Required: Utilization of AI tools and agents to help expedite manual tasks (i.e. Google Gemini or Anthropic Claude) • Required: Strong editorial judgment — you know the difference between a blog post, a data sheet, and a press release, and you hold the line on format and quality • Required: Demonstrated ability to write technically fluent content for non-engineering audiences — you make complex AI and infrastructure concepts accessible without dumbing them down • Required: A strong portfolio of product marketing deliverables — positioning docs, solution briefs, white papers, thought leadership, executive content — for IT or enterprise audiences • Required: Experience owning sales enablement content strategy: building repositories, alerting sales to new assets, and architecting content for discoverability • Required: Experience producing channel or partner-facing content (co-branded data sheets, joint solution briefs, technical assets for OEM or distributor reps) • Required: Experience running cross-functional content and market intelligence cadences with product, marketing, and leadership • Familiarity with AI infrastructure concepts such as MLOps, model training and deployment, and AI workflows is a strong advantage • Experience managing a team of content producers in a fast-paced environment with short attention spans