About the company
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
Responsibilities
- 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.
Requirements
- 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
Conditions
- 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