Manager, Engineering - AI Platform - Evaluation & Annotation

Datadog

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 101 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $221k

$164k most similar roles pay here $278k

This listing doesn't post a salary. Most similar roles pay $174,843–$267,050.

Based on 240 similar postings.

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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 · Manager, Engineering - AI Platform - Evaluation & Annotation

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Manager I, Engineering - AI Platform - Evaluation & Annotation will join the AI platform team to manage and grow a new, fast-growing group of four to six engineers. This role involves defining the technical vision and roadmap while overseeing critical projects involving offline and online AI model evaluation, designing human annotation tools and processes, and establishing standards for synthetic and AI-generated datasets. The manager will collaborate with internal infrastructure and data teams to build systems from the ground up while remaining a hands-on leader involved in code reviews and design reviews. The ideal candidate is a software engineer with experience in backend, data engineering, and infrastructure. This role addresses technical challenges within the AI development cycle, specifically focusing on tools for large-scale training and inference across products like Bits AI and LLMObs.

What does a Engineering Manager earn in Remote?

Median $235250 from 43 postings across 20 companies.

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Skills

AI Infrastructure Infrastructure Data Pipelines Software Engineering Code Review

What you'll do

Manage and grow a team of 4-6 engineers within the Evaluation & Annotation department.
Define the technical roadmap for AI model evaluation and human annotation processes.
Establish standards for synthetic data and AI-generated datasets.
Collaborate with infrastructure teams to customize storage and data pipelines for AI needs.
Partner with Applied AI teams to build out systems from the ground up.
Perform hands-on engineering tasks including code reviews, design reviews, and coding.
Ensure high-quality software delivery in alignment with product goals and engineering standards.

What we're looking for

Experience leading software engineering teams as a tech lead or people manager.
Proven track record of delivering high-quality software on schedule and collaborating with product partners.
Strong technical skills in backend, data engineering, and infrastructure.
Ability to manage and grow a team of 4-6 engineers.
Excellent leadership and interpersonal skills to build and lead high-performing teams.
Willingness to perform hands-on work including code reviews, design reviews, and coding.
Ability to define technical roadmaps and align them with organizational goals.

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