As a Cloud Researcher on Datadog’s Infrastructure Monitoring product team, you’ll conduct deep research into popular and emerging cloud services to identify best practices for improving reliability, increasing performance, and optimizing cost.
You’ll work closely with multiple product teams to translate these findings into actionable recommendations embedded in the Datadog platform.
This role offers the opportunity to build broad knowledge in a wide range of technologies across layers of the stack and clouds — as well as to help Datadog’s growing base of 30,000+ customers to be more successful with their cloud adoption.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

• Use product adoption data as well as feedback from customers, input from Datadog product teams and technology partners, and other sources to identify and prioritize research areas (e.g. types of technologies, specific providers)
• Use a variety of methods including AI-assisted methods to conduct deep research into prioritized areas to identify best practices for reliability, performance, and cost optimization
• Document findings and collaborate with product teams to integrate findings into relevant Datadog products by identifying relevant data in the Datadog platform and writing recommendation logic
• Working with product partners, define success metrics to measure efficacy of recommendations
• Develop processes to monitor the usefulness over time and keep recommendations up-to-date as the related technologies evolve
• Partner with Marketing, Community, and other teams to publish findings through blog posts and other channels — to strengthen Datadog’s position as a thought leader in cloud optimization