Datadog

Senior Product Manager - Search

Datadog$192K — $240K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in product management
  • Experience with search, ranking, or recommendation systems
  • Technical background, particularly with large-scale data systems
  • Strong design sensibility, especially regarding micro-interactions
  • Excellent verbal and written communication skills
  • Interest or familiarity with MCP servers and user experience differences between human and agentic interfaces

Responsibilities

  • Define how Datadog's AI agents discover context and tools for accurate answers
  • Monitor industry trends in UI and agentic search experiences
  • Collaborate with AI teams to integrate ranking and recommendation models
  • Define and track KPIs for search quality and impact on productivity
  • Engage with customers and product teams to understand diverse search journeys

Benefits

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development opportunities
  • Best-in-class employee onboarding
  • Internal mentorship and cross-departmental buddy programs
  • Inclusive workplace culture
Full Job Description
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

#LI-Hybrid

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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