Senior Product Manager - Search

Senior Product Manager - Search Datadog’s Search team helps users – both human and agents – find answers to their questions. Search is a critical function in Datadog, and touches many product surfaces: the 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. Search is a full-stack team: owning user-facing search components, backend search ranking systems, and machine learning models to produce recommendations. The Search team is relatively new, and still growing. We have recently built out agentic search tools, and we are looking for a leader to help us expand to ambitious orchestration systems that deliver accurate results, and proactive recommendations across both keyword and semantic search. Beyond this, you’ll have room to influence how Datadog thinks about Search as a strategic surface. 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 Who you are: - You have experience with search, ranking, or recommendation systems - 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 - You have 5+ years product experience Benefits and 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: $192,000—$240,000 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 ap

5+ years of product experience. Experience with search, ranking, or recommendation systems. Familiar with MCP servers and differences between human and agentic UX. Strong technical background with experience operating large-scale data systems. Excellent verbal and written communication skills with ability to present and defend ideas to technical stakeholders and executives.

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.