Senior Manager, Product Marketing and Technical Content
C
ClearMLAI infrastructure
Workable workplace: remote Workable remote: True Workable locations: United States Location: United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 7-10 years of experience
- Required Skills
- KubernetesNetworkingCross-functional collaborationMLOps
Requirements
- 7-10 years of experience in product marketing or technical marketing, with strong content strategy and execution capabilities.
- Firsthand professional experience in the AI infrastructure industry with experience marketing to IT leaders and engineers.
- Demonstrated ability to develop platform positioning and messaging frameworks, build buyer journey maps, and use those frameworks to drive content strategy.
- 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.
- Utilization of AI tools and agents to help expedite manual tasks (i.e. Google Gemini or Anthropic Claude).
- 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.
- Demonstrated ability to write technically fluent content for non-engineering audiences — you make complex AI and infrastructure concepts accessible without dumbing them down.
- A strong portfolio of product marketing deliverables — positioning docs, solution briefs, white papers, thought leadership, executive content — for IT or enterprise audiences.
- Experience owning sales enablement content strategy: building repositories, alerting sales to new assets, and architecting content for discoverability.
- Experience producing channel or partner-facing content (co-branded data sheets, joint solution briefs, technical assets for OEM or distributor reps).
- Experience running cross-functional content and market intelligence cadences with product, marketing, and leadership.
Responsibilities
- Build, operate, and own the technical content flywheel: systematically intake SME-generated material (release notes, video scripts, technical guides, lab validations) and convert it into the right market-facing format: blog post, data sheet, solution brief, or channel asset.
- Build and maintain a content architecture: develop a taxonomy and tagging system organized by audience (platform engineer, IT practitioner, C-level executive) and topic so content is discoverable, filterable, and useful to sales at the right moment in a deal cycle.
- Own sales content enablement: alert sales when new assets become available, maintain a central organized repository, and ensure reps can quickly surface the right material during active conversations.
- Develop product positioning and messaging: define how ClearML is framed in the market, what differentiates us from alternatives, and how our value maps to the specific challenges of platform engineers, IT leaders, and infrastructure decision-makers.
- Build and maintain a buyer journey map — from awareness through POC to purchase — defining ICPs, personas, purchasing committee members, and the specific content and channels that influence each stage.
- Own market intelligence: lead a weekly review with marketing, product, and leadership to monitor the latest AI hype-cycles, ecosystem announcements, and competitive moves.
- Develop a brand awareness strategy targeted at IT leaders. Produce 3-4 high-impact thought leadership pieces (CXO guides, industry surveys, executive white papers) a year.
- Translate positioning into a full suite of market-facing assets that address key use cases across the funnel: solution briefs, thought leadership articles, white papers, platform narratives, executive blog posts, and case studies.
- Produce partner-ready channel enablement content — joint solution briefs, co-branded data sheets, technical assets for distribution through channel partners (OEMs, distributors, VARs).
- Partner with Product and Sales to ensure messaging reflects real buyer needs, addresses objections at every stage, and supports active deal cycles.
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