Senior Product Manager - Search
Datadog- Compensation
- $192k–$240k Published range
- Location
- Hybrid - Boston, MA or New York, NY Remote eligibility
- Employment
- Full-time Senior
About the job
About the role
Datadog's Search team helps users – both human and agents – find answers to their questions. Search is a critical function touching many product surfaces, including query editors, search bars, global cmd+k navigation, and MCP tools for the Bits AI agent. The team is full-stack, owning user-facing search components, backend ranking systems, and machine learning models. We are looking for a leader to expand to ambitious orchestration systems delivering accurate results and proactive recommendations across keyword and semantic search.
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.
- Collaborate with Applied AI teams to integrate ranking, personalization, and recommendation models.
- Define and monitor KPIs for search quality, adoption, and downstream impact.
- Engage with customers and internal teams to understand search journeys.
Who you are
- Experience with search, ranking, or recommendation systems.
- Familiarity with MCP servers and differences between human and agentic UX.
- Sharp eye for design and micro-interactions.
- Strong technical background and understanding of large-scale data systems.
- Excellent communication skills and ability to present to technical stakeholders and executives.
- 5+ years product experience.
Compensation
The reasonably estimated yearly salary for this role is $192,000—$240,000 USD.
Benefits
Datadog offers a competitive benefits package including healthcare, dental, mental health benefits, 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. New hire stock equity (RSUs) and employee stock purchase plan are also provided.
How to apply
Apply via the provided link.
Skills & tags
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