Staff Applied Scientist, Agentic Interfaces

Datadog

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$276,000–$345,000 / yr
Posted
101 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $310k
$148k most similar roles pay here $366k

This role pays more than 92% of similar roles. Most pay $180,262–$256,875 — the shaded band above. At the midpoint, this role pays about $310k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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At a glance

TL;DR · Staff Applied Scientist, Agentic Interfaces

Staff Applied Scientist - Agentic Interfaces joins the Agentic Interfaces team to define what constitutes a high-quality experience for AI agents interacting with observability, security, and software delivery data. This role focuses on building measurement systems, evaluation strategies, and regression harnesses to ensure agent performance improves over time. You will develop eval datasets, golden traces, and metrics covering answer quality, tool-selection accuracy, retrieval relevance, latency, and token costs. The position involves conducting applied research on non-deterministic trajectories, large tool catalogs, and hallucination control while partnering with AI engineers to improve the underlying platform. Key responsibilities include providing technical leadership through design reviews and mentorship while representing the team externally. You will solve complex problems regarding agent-data interaction for both first-party and third-party integrations using advanced machine learning and generative AI methodologies in a product-driven environment.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Define evaluation metrics for AI agent integrations including quality, cost, retrieval relevance, and tool-selection accuracy.
  • Build eval datasets, golden traces, and regression harnesses to catch quality issues before they reach customers.
  • Conduct applied research on non-deterministic agent trajectories, hallucination control, and large-scale tool selection.
  • Drive measurable improvements in context efficiency and tool-selection accuracy for the Agentic Interfaces platform.
  • Develop a shared measurement substrate that supports both first-party and third-party AI agents.
  • Provide technical leadership through design reviews, mentorship, and representation of the team in the open agent ecosystem.

What we're looking for

  • You must have a BS, MS, or PhD in a scientific field or equivalent experience.
  • You must have 10+ years of relevant engineering or applied science experience.
  • You must have experience as a technical lead.
  • You must have a proven track record of leading ML or GenAI initiatives from research through production.
  • You must have significant experience with evaluation, experimentation, or measurement of ML systems at scale.
  • You must possess a strong product mindset and ability to drive initiatives across cross-functional teams.
  • You must be able to make sound technical calls in ambiguous environments where paths are not yet defined.

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