Datadog

Senior AI Engineer – Notebooks

Datadog
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6 days ago
Remote, Spain +7 moreSenior

Responsibilities

  • Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces.
  • Build deterministic and LLM-powered systems that provide trustworthy and explainable customer outcomes.
  • Translate customer problems, adoption signals, and roadmap goals into technical decisions and iterations with Product.
  • Build integrations that allow Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments.
  • Provide technical leadership and mentorship while establishing AI engineering best practices.
  • Build, operate, and provide on-call support for reliable backend services in the critical path of customer deployments.

Requirements

  • 6+ years of relevant engineering experience.
  • Experience with Go, Python, or similar systems programming languages.
  • Hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies.
  • A strong product mindset connecting technical decisions to customer outcomes and business impact.
  • Experience managing model non-determinism through evaluation frameworks, testing strategies, and operational excellence.

Benefits

  • Hybrid workplace model.
  • New-hire stock equity through RSUs and an employee stock purchase plan.
  • Continuous professional development, product training, and career pathing.
  • Intra-departmental mentor and buddy program.
  • Inclusive company culture, Community Guilds, and access to Inclusion Talks.
  • Free global Spring Health benefits for employees and dependents age 6+.
  • Competitive global benefits that may vary by country and employment type.

Tech Stack

Datadog

About Datadog

1,001-5,000 employees

Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.

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