Senior Staff GenAI Engineer - Application Performance Monitoring (APM)

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. 

You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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.

 

What You’ll Do:

• Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams.
• Guide long-term strategy and technical direction for GenAI workflows across APM and related products.
• Build and benchmark GenAI/ML models using state-of-the-art techniques.
• Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives.
• Collaborate with cross-functional teams to build automated investigation and triaging tools.
• Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
• Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
• Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.