Manager I, Engineering, Code Intelligence

Datadog

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$192,000–$240,000 / yr
Posted
39 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $216k
$166k $265k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $185,375–$247,112 — the blue band above. At the midpoint, this role pays about $216k versus about $216k 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 73 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 71 roles with salary data.

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At a glance

TL;DR · Manager I, Engineering, Code Intelligence

Manager I, Engineering - Code Intelligence leads an engineering team within the Code Intelligence group, which operates at the intersection of agentic engineering and product. The manager is responsible for setting technical direction, owning the product roadmap, and leading the development of source code indexing, PR Agentic Reviewers, shift-left work, and closed-loop feedback systems. Key responsibilities include building and operating scaled LLM and agent software in production, including LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and LLM-as-judge systems. The role requires expertise in AI-native development practices, safety, and validation. This position solves technical problems by running agents against real customer source code to improve agent autonomy and output quality within a production environment.

What does a Engineering Manager earn in New York?

Median $254488 from 41 postings across 13 companies.

See salary data

What you'll do

  • Lead and develop an engineering team by setting technical direction and high standards for execution.
  • Own the roadmap for source code indexing, PR Agentic Reviewers, and shift-left work.
  • Develop and operate scaled LLM and agent software including APIs, frameworks, and tool-use layers.
  • Build closed-loop evaluation systems and prompt tooling to measure and improve agent output quality.
  • Set independent product strategy while partnering with company-wide product teams.
  • Translate customer needs and internal stakeholder requirements into specific technical directions.
  • Drive AI-native development practices to improve agent autonomy, safety, and validation.

What we're looking for

  • Experience as an engineering manager with a track record of shipping products with direct customer interaction.
  • Hands-on experience building scaled LLM software, including LLM APIs, agent frameworks, prompt and eval tooling, and closed-loop evaluation systems.
  • Ability to set product strategy independently in an ambiguous environment and partner with product teams company-wide.
  • Experience leading and developing an engineering team by setting technical direction and high standards for execution.
  • Ability to build and operate production systems for LLM and agent software, including harness and tool-use layers.
  • Strong product and customer mindset with the ability to translate customer needs into technical direction.
  • SDLC and developer tooling background (preferred).

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