Senior AI Engineer – Notebooks

The shape of it

In the posting’s own words

We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products.

What it asks for · 12

• You have experience with Go, Python or similar systems programming languages
• You have 6+ years of relevant engineering experience
• You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies.
• You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact.
• You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits

What the job covers

• Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces
• Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• 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
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Tools and skills named

Words the posting leans on

• product9×
• experience8×
• customer7×
• notebooks6×
• benefits4×
• build4×
• systems4×
• technical4×
• engineering3×
• operate3×
• workflows3×
• agents2×
• ai-powered2×
• analysis2×
• capabilities2×
• closely2×

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.

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