The opportunity
Datadog’s Search team helps users – both human and agents – find answers to their questions.
What you'll do
Define and deliver how Datadog's AI agents discover the right context and: tools to answer natural-language questions accurately and at scale
Stay on top of industry trends in UI and agentic search experiences and capabilities
Collaborate with Applied AI teams to integrate ranking, personalization, and: recommendation models that scale across both human and agentic users
Define and monitor KPIs for search quality, adoption, and downstream impact: on user productivity; use them to drive data-informed decision making
Engage directly with customers and internal product teams to deeply: understand search journeys across query editors, global navigation, and natural-language agent interfaces
You have experience with search, ranking, or recommendation systems
What they're looking for
- You are familiar with or very interested in MCP servers and differences between human and agentic UX
- You have a sharp eye for design and strong opinions on the micro-interactions: — keyboard navigation, autocomplete behavior, loading states — that separate a good search experience from a great one
- You have a strong technical background, and sense of the day in the life of: an engineer operating large-scale data systems
- You have excellent verbal and written communication skills and the: willingness to present and defend your ideas to technical stakeholders and executives alike
