Staff AI Engineer - Notebooks

Datadog Datadog · Enterprise · Lisbon, Portugal +2 · Dev Eng

Staff AI Engineer role focused on building AI-driven workflows and agent systems within Datadog Notebooks, requiring technical leadership, end-to-end development, and a product-minded approach.

What you'd actually do

  1. Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
  2. Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
  3. Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
  4. Drive product direction with a strong user focus, always advocating for the best end-user experience.
  5. Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.

Skills

Required

  • BS/MS/PhD in a scientific field or equivalent experience
  • 10+ years of relevant engineering experience
  • experience acting as a technical lead
  • Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
  • significant experience in model deployment, development, training, fine-tuning, and evaluation

Nice to have

  • mentoring others
  • cultivating a high-performing engineering culture
  • leveraging AI tools to enhance how you code, solve problems, and build
  • demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
  • motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

What the JD emphasized

  • technical leader
  • product-minded
  • track record of driving impactful initiatives end to end
  • production-ready scale and reliability
  • robust agent systems

Other signals

  • AI-driven workflows
  • technical leader in AI
  • industry-leader AI-powered features
  • product-minded ML engineer
  • driving impactful initiatives end to end
  • full development cycle
  • production-ready scale and reliability
  • robust agent systems