Datadog

Product Marketing Manager - Infrastructure Monitoring (AI and Containers)

Datadog$123K — $164K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-3 years of Product Marketing experience in B2B SaaS
  • Experience in product positioning, messaging, and launch content
  • Familiarity with infrastructure monitoring, AI infrastructure, containers, or Kubernetes
  • Ability to communicate technical concepts to non-technical audiences
  • Proficient storyteller across diverse content formats

Responsibilities

  • Own the go-to-market strategy for Infrastructure Monitoring focused on AI and containers
  • Develop clear messaging that highlights unified visibility in infrastructure
  • Position Kubernetes and containers within Datadog's AI offerings
  • Create engaging content for product launches, such as blogs and case studies
  • Manage messaging for digital campaigns and industry events
  • Collaborate with product, sales, and customer teams to enhance narratives

Benefits

  • Generous and competitive benefits package
  • New hire stock equity and employee stock purchase plan
  • Continuous career development opportunities
  • Best-in-class onboarding process
  • Internal mentor and buddy program
  • Inclusive workplace culture
Full Job Description
Datadog Infrastructure Monitoring helps teams understand the health and performance of the infrastructure powering modern applications, including AI - from hosts and Kubernetes clusters to GPUs and other compute resources. AI applications are increasingly built and deployed in containers, making visibility into container health, GPU utilization, and underlying compute critical to reliable AI performance. As the Product Marketing Manager - Infrastructure Monitoring for AI and Containerized Workloads, you'll own the go-to-market strategy for this portfolio. You'll partner closely with Product Management, Sales, Customer Success, and Enablement to shape positioning, support product launches, increase adoption, and translate complex infrastructure capabilities into clear customer value. You will incorporate AI-enabled tools into your day-to-day work to improve productivity and execution. You'll also help position Kubernetes and container monitoring capabilities within Datadog's Bits agentic AI offerings, showing how agentic workflows can help teams detect, investigate, and remediate infrastructure issues.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:
  • Own the end-to-end go-to-market strategy for Infrastructure Monitoring for AI and containerized workloads, including positioning, launches, adoption, and field readiness.
  • Develop clear, differentiated messaging that communicates the value of unified visibility across hosts, containers, Kubernetes clusters, GPUs, and the infrastructure supporting AI workloads.
  • Position Kubernetes and containers within Datadog's Bits agentic AI offerings, translating workflows for detecting, investigating, and remediating infrastructure issues into clear customer value.
  • Create engaging content to support product and feature launches, including pitch decks, ebooks, case studies, blogs, webinars, short-form demo videos, and customer testimonials.
  • Own the messaging and positioning used across digital marketing campaigns and industry events, including DASH, Datadog's user conference, Kubecon, re:Invent, and more
  • Partner closely with Product Management, Sales, Customer Success, and Enablement to translate product capabilities and customer insights into compelling narratives while enabling field teams to win new customers, increase product adoption, and identify expansion opportunities.

Who You Are:
  • 2-3 years of Product Marketing experience, specifically supporting enterprise B2B SaaS products.
  • Experience developing product positioning, messaging, launch content, collateral, and sales enablement assets.
  • Prior experience with infrastructure monitoring, AI infrastructure, containers, serverless technologies, Kubernetes, or related developer technologies is preferred.
  • Able to communicate effectively with technical audiences while translating complex capabilities into clear customer value.
  • A strong storyteller who can develop compelling narratives across a range of formats and channels.
  • Passionate about SaaS, cloud computing, DevOps, AI infrastructure, and product-led growth.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Bonus Points:
  • Best-in-breed onboarding
  • Opportunity to join Community Guilds
  • Access to Inclusion Talks, our Internal Panel Series, and our annual Diversity Hackathon

Benefits & Growth:
  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The reasonably estimated salary for this role at Datadog ranges from $123,000 - $164,000, plus a competitive equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best-in-class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$123,000-$164,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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