Senior Marketing Manager

Austin, TX (Remote)

Salary Not AvailableSenior Level8+ years expFull time

Posted 2 months ago

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Job Summary

Build and lead the content engine for AI infrastructure and enterprise technology, turning complex architecture into credible narratives for engineers, architects, and decision-makers while accelerating analyst engagement and sales enablement.

  • Editorial and content pipeline ownership across ideation, production, distribution, and measurement.
  • Customer stories and data-grounded proof points that support sales and analyst conversations.
  • Alignment with GTM, launches, and demand gen to ensure consistent messaging and market-ready assets.

Job Description

Responsibilities
  • Drive an editorial calendar and content pipeline for owned areas: ideation, production, distribution, and measurement.
  • Write and edit long-form content including byline blogs, contributed articles, technical briefs, and analyst-facing materials.
  • Build a repeatable content engine that produces high-quality assets at a pace that matches our product and launch cadence.
  • Develop customer story programs that produce credible, data-grounded proof points for sales and analyst conversations.
  • Direct blog strategy with clear performance targets for engagement, reach, and pipeline influence.
  • Translate complex architectural concepts into clear, credible narratives that resonate with infrastructure architects, data center operators, and technical executives.
  • Develop and maintain the company’s point of view on AI and infrastructure trends, fabric architecture, and the competitive landscape. Own ‘how we show up’ in market conversations.
  • Build executive positioning and speaking programs: conference abstracts, keynote scripts, panel prep, and event-specific messaging.
  • Partner with CMO and analyst relations to develop positioning materials, briefing decks, and engagement strategies for industry analysts.
  • Work closely with sales, product, and engineering leadership to stay current on architecture, roadmap, and competitive dynamics. Turn technical depth into market-ready content and enablement tools for sales and channels.
  • Collaborate with demand generation and field teams to align content with campaign themes, launch milestones, and sales enablement needs.
  • Contribute to GTM planning for product launches, ensuring content, enablement assets, and messaging are sharp, consistent, and ready on schedule.
Requirements
  • 8+ years in product marketing, content marketing, or technical marketing roles within enterprise technology. Experience in AI infrastructure, data platforms, HPC, cloud, or semiconductors is strongly preferred.
  • Experience using AI enabled tools to drive scale of your expertise into your marketing workflows.
  • Demonstrated ability to develop and execute content strategies that drive measurable business outcomes: pipeline influence, analyst perception, category awareness.
  • Strong writing and editorial skills. You can produce polished, publication-ready content across formats (blogs, briefs, contributed articles, keynote scripts) with minimal oversight.
  • Technical fluency. You can engage credibly with engineers and architects on topics like fabric architecture, AI training and inference workloads, GPU cluster design, and data platform tradeoffs. You do not need to be an engineer, but you need to understand the technology well enough to write about it accurately.
  • Experience with analyst engagement programs (Gartner, IDC, Forrester, or equivalent) including positioning strategy, briefing preparation, and inquiry support.
  • Track record of building and scaling content programs at high-growth or category-creation stage companies. You know how to build the engine, not just produce individual assets.
  • Experience developing customer story pipelines and translating customer outcomes into credible, data-supported proof points.
  • Comfort operating in a startup environment with high autonomy, fast iteration, and direct access to executive leadership.
Nice-to-Have
  • Deep familiarity with the bigger picture view of how AI and AI powered applications are delivered and consumed by enterprise customers including data platforms and data governance
  • Experience with category creation: defining a new market category and building the content and narrative infrastructure to support it.
  • Experience with GTM for products that span both scale-up and scale-out architectures.
  • Familiarity with analyst frameworks (Magic Quadrant, MarketScape, Wave) and experience contributing to positioning strategy for those evaluations.
Benefits
  • medical, dental, and vision coverage, as well as disability and life insurance
  • a dependent care flexible spending account
  • accidental injury insurance
  • pet insurance
  • generous paid holidays
  • 401(k) with company match
  • Open Time Off (OTO) for regular full-time exempt employees
  • Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave
Cornelis Networks, Inc. logo

Cornelis Networks, Inc.

3.9 Glassdoor

The World's First Lossless and Congestion-Free Scale-Out NetworkCornelis is solving one of the world’s biggest compute efficiency challenges—unlocking application performance with network-led acceleration at any scale. From faster AI training and ultra-responsive inference to the most predictable, high-throughput HPC simulations, Cornelis delivers results where legacy networks fall short. Built on the proven Omni-Path architecture, our solutions provide maximum performance, efficiency, scalability, resiliency, and interoperability—empowering the next generation of AI and HPC infrastructure.

Founded in 2020
Wayne, Pennsylvania, USA
227 employees (4 in marketing)
71% recommend to a friend
58% CEO approval

Traffic Signals

Monthly Visitors
1.6K
Traffic Source Mix
Search
27.8%
Direct
47.8%
Referral
5.9%
Social
17%
Paid
1.4%

Headcount Trend

Current headcount: ~227

Funding

Total Funding
$93.3M
Last Raise
$25M
Series B, 2 years ago

Funding History

  • Mar 2024
    Series B • $25M
  • Aug 2023
    Series Unknown • $19.3M
  • Nov 2022
    Series B • $29M

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