We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. 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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problem