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Senior AI Engineer - APM Experiences

Datadog

Senior AI Engineer - APM Experiences

Datadog

Paris, France

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Flexible PTO policy

Learning and development stipend

Remote work flexibility

Parental leave program

Required Skills

TensorFlow

PyTorch

Airflow

Datadog’s APM Experiences team owns the core product experience for Application Performance Monitoring — including distributed tracing, service representation, and more. We’re building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can:

  • Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent

  • Proactively recommend performance and reliability-based optimizations to prevent the next incident

  • Automatically create intelligent monitors and SLOs for the most important business flows and critical paths

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What you’ll do:

  • Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes.

  • Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability.

  • Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths.

  • Integrate with Datadog’s platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI.

  • Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences.

  • Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems.

Who you are:

  • Product‑minded engineer who ships AI to production

  • 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance

  • Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails)

  • Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics

  • Strong ML / applied science fundamentals

  • Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals)

  • Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model

  • Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions

  • Distributed systems & observability savvy

  • Experience with microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns

  • Proficient in Go, Java, or Python; strong API/service design; production ops (monitoring, alerting, on‑call rotation)

Bonus Point:

  • Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines

  • Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data

  • Familiarity with SLO/SLA practices and incident response

*Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. *

Benefits and Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

  • Continuous professional development, product training, and career pathing

  • Intradepartmental mentor and buddy program for in-house networking

  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

  • Access to Inclusion Talks, our Internal panel discussions

  • Free, global mental health benefits for employees and dependents age 6+

  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the 2NdZF_65u ZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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About Datadog

Datadog

Datadog

Public

An observability and security platform that offers infrastructure, applications, software development, and monitoring services.

5,001-10,000

Employees

New York

Headquarters

$40B

Valuation

Reviews

3.9

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.2

Career

3.0

Management

2.8

55%

Recommend to a Friend

Pros

Interesting company and work

International presence outside US

Good for referrals from former colleagues

Cons

On-call rotation requirements

Work-life balance concerns

Timezone synchronization issues

Salary Ranges

55 data points

Mid/L4

Mid/L4 · Applied Scientist

2 reports

$213,200

total / year

Base

$164,000

Stock

-

Bonus

-

$188,500

$237,900

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Phone Screen

2

Technical Interview

3

Final Interview

Common Questions

Technical/Coding

Behavioral

System Design