Staff Applied Scientist - Dashboards

The shape of it

In the posting’s own words

The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas.

What it asks for · 6

• You have a BS/MS/PhD in a scientific field, or equivalent experience.
• 10+ years of relevant engineering or applied science experience, including time as a technical lead.
• Proven track record of leading ML or GenAI initiatives in a product-driven environment, from research through production.
• Significant experience with evaluation, experimentation, or measurement of ML systems at scale.
• You bring a strong product mindset and are comfortable driving initiatives across cross-functional teams.
• You thrive in ambiguity and can make sound technical calls when the path isn’t yet defined.

What the job covers

• Own the evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against.
• Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, and make those assets reusable by every team that is building dashboards and widgets through agents
• Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency, partnering closely with the engineers on the team.
• Provide technical leadership across the Dashboards team and the broader organization through design reviews, working groups, and mentorship.

Degree language

• You have a BS/MS/PhD in a scientific field, or equivalent experience.

Tools and skills named

Words the posting leans on

• dashboards5×
• agent4×
• build4×
• experience4×
• quality4×
• data sources3×
• system3×
• technical3×
• applied2×
• bring2×
• broader organization2×
• cost2×
• define2×
• dozens2×
• end-to-end2×
• evaluation2×

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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