Senior Staff GenAI Engineer - Application Performance Monitoring (APM) | Datadog Careers

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $272,000–$340,000 / yr
Posted: 18 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $306k

$142k most similar roles pay here $361k

This role pays more than 96% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $306k versus about $208k 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 130 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Senior Staff GenAI Engineer - Application Performance Monitoring (APM) | Datadog Careers

Apply Now Log in to save

As a Senior Staff Software Engineer on Datadog’s Application Performance Monitoring (APM) team, you will lead technical initiatives focused on agentic workflows and GenAI/ML integration. Your responsibilities include designing, developing, and deploying advanced ML/AI features across multiple teams while guiding the long-term strategy for these technologies within APM and related products. You’ll build and benchmark state-of-the-art models, contribute to thought leadership in the broader engineering community, and collaborate with cross-functional teams to develop automated investigation tools. With a strong product mindset, you will influence product direction by advocating for end users and guiding teams through complex challenges. This role requires extensive experience leading large-scale GenAI/ML initiatives, proficiency in model development and deployment, and a passion for mentoring and fostering a high-performing engineering culture.

Skills

Python Java Kubernetes Docker AWS CI/CD Git PostgreSQL Redis Prometheus Grafana Scikit-learn TensorFlow PyTorch GenAI ML Agentic Workflows APM

What you'll do

Lead design, development, and deployment of ML/AI-powered features within APM.
Guide long-term strategy for GenAI workflows across APM and related products.
Build and benchmark state-of-the-art GenAI/ML models using advanced techniques.
Mentor engineers and influence engineering culture through leadership activities.
Collaborate on automated investigation and triaging tools with cross-functional teams.
Advocate for end-user needs while influencing product direction with a product mindset.

What we're looking for

10+ years of relevant engineering experience with at least 4 years in leading cross-team technical initiatives.
Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment.
Proficiency in developing, deploying, evaluating, and optimizing ML models with hands-on experience in building end-to-end systems.
Strong ability to drive initiatives across cross-functional teams and solve ambiguous challenges.
Passionate about mentoring engineers and fostering a high-performing engineering culture.

Similar roles

Senior AI Engineer - APM Experiences | Datadog Careers

Datadog

New York, NY 18 days ago $187,000–$240,000

Python Go Java ML AI LLM Distributed_Tracing Microservices Observability API_Design Prometheus Grafana OpenTelemetry SLO_SLA Incident_Response CI/CD

Hybrid

Save

Senior GenAI Engineer - Solutions Architecture

Citi

Remote (Irving, TX) 25 days ago $125,760–$188,640

Python Java C++ Docker Kubernetes LLMOps RAG Context Engineering Vector Database Knowledge Graphs Prompt Injection Defense Dynamic Data Masking CI/CD Logging Explainability Evaluation Pipelines Terraform AWS GCP

Remote

Save

Engineering Manager - GenAI, AI & Data Platforms (AiDP)

Apple Inc

Seattle, WA 53 days ago $188,200–$325,500

Java C++ Python Kubernetes Docker CI/CD Flink Spark NoSQL AWS GCP Azure PostgreSQL MongoDB Git Jenkins Prometheus Grafana RAG Agentic systems LLM inference and deployment

Save