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Datadog·SaaS·1 day ago
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Web Content Engineering & AI Visibility Lead

New York, United States of AmericaHybridSenior · 6-10 yearsContent Marketing Manager

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Must-have skills for this role

  • cms
  • technical seo
  • ai discoverability
  • datocms

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Apply faster with autofill FREEDatadog uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows
  • Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution
  • Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages
  • Establish consistent structural standards across owned web properties and monitor site health to identify and address issues
  • Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort

What they're looking for

  • Experienced building and maintaining web pages in a modern CMS such as DatoCMS, Contentful, Adobe Experience Manager, or a similar platform
  • Strong in technical SEO and AI discoverability fundamentals, including structured data, headings, internal linking, crawlability, and how AI answer engines interpret web content
  • Comfortable using platforms such as Conductor, Profound, or similar tools to measure discoverability and inform web decisions
  • Able to take content created for other formats and structure it into clear, effective web experiences
  • Experienced using AI, agents, automation, or reusable workflows to reduce repetitive work and improve operational efficiency
  • Organized across requests from multiple teams and able to plan and prioritize work while maintaining quality

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

As Lead of Web Content Engineering & AI Visibility on Datadog’s Web Experience team, you will own how we use our content management system (CMS), build and maintain the pages across datadoghq.com, and improve the technical SEO and AI discoverability that help those pages get found and cited. You will partner across Marketing, UX, and Engineering to turn content into effective web experiences and bring discoverability insights into planning and prioritization. You will also use AI, agents, and automation to shorten the path from recommendation to published page and make reporting and insights more accessible to stakeholders. This role offers the opportunity to shape how Datadog evolves its web presence as search and AI-driven discovery continue to change.

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:

  • Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows
  • Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution
  • Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages
  • Establish consistent structural standards across owned web properties and monitor site health to identify and address issues
  • Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort

Who You Are:

  • Experienced building and maintaining web pages in a modern CMS such as DatoCMS, Contentful, Adobe Experience Manager, or a similar platform
  • Strong in technical SEO and AI discoverability fundamentals, including structured data, headings, internal linking, crawlability, and how AI answer engines interpret web content
  • Comfortable using platforms such as Conductor, Profound, or similar tools to measure discoverability and inform web decisions
  • Able to take content created for other formats and structure it into clear, effective web experiences
  • Experienced using AI, agents, automation, or reusable workflows to reduce repetitive work and improve operational efficiency
  • Organized across requests from multiple teams and able to plan and prioritize work while maintaining quality

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.

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.

#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:
$119,000—$159,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

SaaS

Company

DatadogSaaS
New York, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Datadog's careers site·first seen 18 Sept 2026·last verified 18 Sept 2026·How we source jobs

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