Das ist der Job
Beyond this, you’ll have room to influence how Datadog thinks about Search as a strategic surface.
Darum lohnt es sich
Senior Product Manager – Search Datadog’s Search team helps users—both human and agents—find answers to their questions. The Search team is full‑stack, owning user‑facing search components, backend search ranking systems, and machine learning models that produce recommendations.
It is a new, growing team that has recently built agentic search tools and is looking for a leader to help expand to ambitious orchestration systems that deliver accurate results and proactive recommendations across both keyword and semantic search.
Collaborate with Applied AI teams to integrate ranking, personalization, and recommendation models that scale across both human and agentic users. Engage directly with customers and internal product teams to deeply understand search journeys across query editors, global navigation, and natural‑language agent interfaces.
Search is a critical function in Datadog and touches many product surfaces, including query editors in product homepages and dashboards, search bars for finding relevant assets, the global cmd+k navigation search, and the MCP tools that our Bits AI agent uses to respond to natural language prompts.
Responsibilities 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.
Define and monitor KPIs for search quality, adoption, and downstream impact on user productivity; use them to drive data‑informed decision making. Qualifications Experience with search, ranking, or recommendation systems. Familiarity with or strong interest in MCP servers and differences between human and agentic UX.
A sharp eye for design and strong opinions on micro‑interactions such as keyboard navigation, autocomplete behaviour, and loading states that differentiate a good search experience from a great one. A strong technical background and sense of the day‑to‑day life of an engineer operating large‑scale data systems.
Excellent verbal and written communication skills and a willingness to present and defend ideas to technical stakeholders and executives alike. 5+ years of product experience. #J-18808-Ljbffr
