Content Optimization Specialist

The role

This role sits within the Community organization's Technical Content team and focuses on making Datadog's material discoverable across classic search engines and newer AI answer platforms. The specialist works closely with Marketing and Product Management to align content with search and generative visibility goals.

What you would do

• Shape complex engineering topics into organized pieces matched to what searchers are trying to find
• Handle metadata, page structure, and internal link architecture for existing content
• Study how AI assistants and agentic tools pull from and summarize Datadog pages, then adjust content accordingly
• Partner with Community, Marketing, and Product teams to keep output consistent with search and generative engine best practices
• Run keyword research and identify coverage gaps that feed the production pipeline
• Produce briefs and outlines that convert research into actionable direction for writers and editors
• Track performance across rankings, citations, AI visibility, traffic, and engagement, and report wins, declines, and openings

What they asked for

• Track record producing large volumes of accurate material for developer and engineering readers
• Demonstrable portfolio linking past work to quantifiable outcomes
• Three or more years running SEO programs with emphasis on page-level optimization
• One to two years tuning content for AI assistants and autonomous platforms
• Working fluency with several search and answer-engine analytics products
• Two to five years writing, editing, or strategizing technical content for an AI or software company
• Ongoing awareness of shifts in SEO, answer engine, and generative search practices

Nice to have

• Willingness to grow into the role without meeting every listed qualification