Senior UX Researcher, Core Pillars

Datadog

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$161,600–$202,000 / yr
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $182k
$141k $281k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $154,837–$254,750 — the blue band above. At the midpoint, this role pays about $182k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 62 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 62 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior UX Researcher, Core Pillars

The Senior UX Researcher, Core Pillars joins the team to shape strategically important products, beginning with the Agent Console. This high-autonomy individual contributor role focuses on helping teams understand and improve the performance, usage, cost, reliability, and business value of AI agents. You will build and own an ongoing research program spanning foundational discovery, product evaluation, and post-launch learning. You will partner with Product, Design, and Engineering to conduct focused mixed-methods research using qualitative and quantitative evidence, including product telemetry and surveys. You must navigate complex technical workflows and enterprise user needs while using AI-assisted workflows to connect qualitative insights with behavioral data. The role solves problems within the observability and infrastructure space, specifically addressing the complexities of AI agents and B2B software.

What you'll do

  • Build and own an ongoing research program covering foundational discovery, product evaluation, and post-launch learning.
  • Conduct mixed-methods research using qualitative and quantitative evidence to support product and design decisions.
  • Identify meaningful research questions by developing a deep understanding of AI agents and complex technical workflows.
  • Influence product strategy and design by developing a clear point of view from research evidence.
  • Monitor product implementation and measurement to ensure research insights achieve intended business outcomes.
  • Advance research practices by integrating AI-assisted workflows and connecting qualitative insights with behavioral data.
  • Build reusable knowledge and enable internal partners to conduct focused research independently.

What we're looking for

  • Independently own a research portfolio from opportunity identification through execution, decision-making, and follow-through.
  • Possess deep qualitative research skills and the ability to use product telemetry, surveys, and other quantitative evidence.
  • Connect research to product decisions and business outcomes while tracking results through implementation.
  • Use AI thoughtfully in research practices to improve speed, scale, quality, or impact.
  • Quickly learn complex technical domains and conduct effective research with enterprise and technical users.
  • Communicate clearly and influence stakeholders with a practical, evidence-grounded point of view.
  • Experience researching AI products, developer tools, observability, infrastructure, or other complex B2B software (preferred).

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