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Datadog

engineering opportunity

Staff Software Engineer - ML Observability

Drive the design and implementation of LLM observability features and develop tools for tracing, evaluating, and debugging LLMs. Influence architecture decisions and mentor engineers to build resilient, high-performance systems.

Boston, Massachusetts, United StateshybridFULL_TIME

Posted

About the role

What will you do at Datadog?

The ML Observability team builds cutting-edge tools to monitor, explain, and

improve AI systems in production, particularly those leveraging Large Language

Models (LLMs) and generative AI. We provide robust, scalable observability for

AI workloads, including drift detection and model evaluation, and behavior

tracing, enabling customers to ship AI with confidence.

As a Staff Engineer, you’ll lead the development of new features and

foundational capabilities within Datadog’s LLM Observability product. You will

shape product direction, drive experimentation, and apply your deep

understanding of both AI systems and software engineering to solve open-ended

problems in the fast-moving AI landscape. Your work will directly impact how our

customers monitor, troubleshoot, and optimize LLM-based applications in

production.

Join us in building the foundational tools that make AI systems observable,

understandable, and reliable in the real world.

At Datadog, we place value in our office culture - the relationships and

collaboration it builds and the creativity it brings to the table. We operate as

a hybrid workplace to ensure our Datadogs can create a work-life harmony that

best fits them.

What You’ll Do

  • * Drive design and implementation of LLM observability features.
  • * Ideate, prototype, and scale new product features to provide insights and
  • drive improvements for generative AI systems
  • * Work cross-functionally with other eng teams, product, UX, and applied
  • science to iterate fast and find product-market fit
  • * Develop and extend tools for tracing, evaluating, and debugging LLMs
  • * Influence architecture decisions and mentor engineers to build resilient,
  • high-performance systems
  • * Stay close to customer pain points and use those insights to guide product
  • and engineering priorities
  • * Stay current with industry trends and advancements in machine learning and
  • observability, driving innovation within the team

Who You Are

  • * You have a BS/MS/PhD in a Computer Science, Engineering or related scientific
  • field or equivalent experience
  • * Deep understanding of distributed systems and scalable backend architectures
  • * Hands-on experience building and shipping LLM-powered or GenAI applications.
  • * Understanding of model internals, inference pipelines, evaluation techniques,
  • and prompt engineering
  • * Ability to thrive in ambiguous, fast-changing spaces and have a
  • product-oriented mindset
  • * You’re excited to shape the next generation of AI observability tools from
  • the ground up
  • * Communicate clearly, think rigorously, and take pride in clean, maintainable
  • code
  • * Experience with observability tools/platforms
  • 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:

* Get to build tools for software engineers, just like yourself. And use the

tools we build to accelerate our development.

* Have a lot of influence on product direction and impact on the business .

* Work with skilled, knowledgeable, and kind teammates who are happy to teach

and learn

* Competitive global benefits

* Continuous professional development

Benefits

and Growth listed above may vary based on the country of your

employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable

compensation. Actual compensation is based on factors such as the candidate's

skills, qualifications, and experience. In addition, Datadog offers a wide range

of best in class, comprehensive and inclusive employee benefits for this role

including healthcare, dental, parental planning, and mental health benefits, a

401(k) plan and match, paid time off, fitness reimbursements, and a discounted

employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$234,000—$300,000 USD

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About Datadog

Datadog is the leading observability and security platform for the AI era,

providing businesses with unified visibility across the technology stack to

manage complexity at scale. It brings applications, infrastructure, data,

models, and security into one place, using AI to detect and resolve issues

before they impact customers. Trusted globally by Fortune 500 companies and

high-growth AI leaders, Datadog enables businesses to move faster with clarity

and confidence. Learn more about #DatadogLife on Instagram

[https://www.instagram.com/datadoghq/? hl=en], LinkedIn,

[https://www.linkedin.com/company/datadog] and Datadog Learning Center.

[https://learn.datadoghq.com/]

--------------------------------------------------------------------------------

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity

[https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf]

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

[https://www.datadoghq.com/legal/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 accessibility of our website or need assistance

completing the application process, please complete this form

[https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform].

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

[https://www.datadoghq.com/legal/applicant-candidate-privacy/]. For information

on our AI policy, please visit Interviewing at Datadog AI Guidelines

[https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/].

Which skills does this role require?

Machine LearningLarge Language ModelsGenerative AIDistributed SystemsBackend ArchitecturesModel EvaluationInference PipelinesPrompt EngineeringObservability ToolsSoftware EngineeringDebuggingArchitecture DecisionsCross-Functional CollaborationProduct DevelopmentCustomer InsightsInnovationObservabilityBackend ArchitectureAI SystemsScalable ToolsDrift DetectionBehavior TracingAI WorkloadsFast-Paced EnvironmentClean CodeMaintainable CodePrototypingExperimentationTeam CollaborationTechnical MentorshipIndustry TrendsAI Observability ToolsLLMsAccessibilityA/B Testing

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