Product Marketing Manager - Infrastructure Monitoring (AI and Containers)

New York City, NY (Hybrid)

$123K/yr – $164K/yrMid Level2+ years expFull time

Posted 9 days ago

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Job Summary

Own the end-to-end go-to-market strategy for Infrastructure Monitoring for AI and containerized workloads, translating product capabilities into clear customer value.

  • Define positioning and messaging for unified visibility across AI infra
  • CreateLaunch content and enable field teams
  • Collaborate with Product, Sales, and Enablement to win customers

Job Description

Responsibilities

  • 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.

Requirements

  • 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.

Preferred

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

Benefits

  • 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.
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Datadog

3.9 Glassdoor

Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.

Founded in 2010
New York, New York, USA
10K employees (510 in marketing)
75% recommend to a friend
92% CEO approval

Traffic Signals

Monthly Visitors
4.9M
Monthly Google Ads Budget
$1.2M
Traffic Source Mix
Search
22.3%
Direct
68.4%
Referral
7.4%
Social
1.2%
Paid
0.6%

Headcount Trend

Current headcount: ~10.4K

Marketing Team

Marketing Team Size
298 (3% of company)
Median Career Experience
11 years
Median Tenure
3.2 years
Marketing Roles Posted (Last 30 Days)
6

Funding

Total Funding
$1B
Last Raise
$870M
Post IPO Debt, 1 years ago

Funding History

  • Dec 2024
    Post IPO Debt • $870M
  • May 2020
    Post IPO Debt
  • Dec 2018
    Series Unknown

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