Senior Software Engineer - AI (EMEA)

The shape of it

In the posting’s own words

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.

What it asks for · 6

• 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.

What the job covers

• 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.

Tools and skills named

Words the posting leans on

• experiences14×
• engineering8×
• product8×
• investigation5×
• customer4×
• organization4×
• technical4×
• ai-powered3×
• data visualization3×
• operate3×
• systems3×
• agents2×
• broader2×
• build2×
• building2×
• capabilities2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Datadog

• AI Research Engineer - Datadog AI Research (DAIR)Paris, France
• AI Research Scientist - Datadog AI Research (DAIR)Paris, France
• AI Research Scientist - Datadog AI Research (DAIR)New York, New York, USA
• Area Vice President, Sales EngineeringBoston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA; San Francisco, California, USA
• Associate Field Marketing Manager (US East and Canada)New York, New York, USA
• Associate Growth Marketing ManagerNew York, New York, USA; San Francisco, California, USA