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Senior Software Engineer - AI (EMEA)

Datadog

Source: GreenhouseLocation: EU/EMEAPublished: Jun 18, 2026Confirmed active: Aug 22, 2026
Technology

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At a glance

Tech stack
LLM
Seniority:
Lead
Benefits
  • Product training
  • Continuous career development
  • Mentor and buddy program
  • Inclusive company culture
  • New hire stock equity (RSUs)
  • Employee stock purchase plan
  • Free global mental health benefit
  • Generous global benefits

Staff/Principal Software Engineer on Datadog’s Data Visualization team building AI-native visualization and investigation experiences. This role leads design and delivery of LLM-powered, explainable customer-facing features and establishes AI engineering practices across teams.

  • Lead AI-powered visualization and investigation product work
  • Build trustworthy, explainable LLM-enhanced experiences
  • Drive context/prompt engineering and evaluation frameworks
  • Hybrid role with stock equity and global benefits

Automatically generated

Job description

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization.

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:

  • Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces.
  • Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes.
  • Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability.
  • Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently.
  • Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments.
  • Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group.

Who You Are:

  • You have extensive software engineering experience and currently operate at or near Staff Engineer scope.
  • You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies.
  • You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence.
  • You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact.
  • You have experience collaborating across multiple teams and influencing technical direction without direct authority.
  • Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus.

Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.

Benefits and Growth:

  • Product training to develop an in-depth understanding of our product and space
  • Continuous career development and pathing opportunities for internal mobility
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Free global mental health benefit through Spring Health
  • Generous global benefits

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

LI-Hybrid

About Datadog:

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. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire …

greenhouseDev Engen

This role is provided by an external source. Applications are handled on the source website.

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