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.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, including 4+ years leading cross-team technical initiatives.
• Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
• You're highly proficient in model development, deployment, evaluation, and optimization, with hands-on experience in building end-to-end ML systems.
• Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business .
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
• Competitive global benefits
• Continuous professional development

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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