Staff Software Engineer - ML Observability

· Remote

Location

Remote

Type

Full Time

Job Description

Staff Software Engineer - ML Observability

Reposted 4 Hours Ago
Easy Apply
2 Locations
Hybrid
234K-300K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers IT ops teams and business users in the cloud age.
The Role
Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing evaluating and debugging generative AI systems. Work cross-functionally to influence architecture mentor engineers prioritize customer pain points and drive product and engineering decisions for reliable high-performance AI observability.
Summary Generated by Built In

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:
$234000$300000 USD

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 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 accessibility of our website or need assistance completing the application process please complete 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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Datadog Compensation & Benefits Highlights

  • Healthcare StrengthComprehensive medical dental and vision coverage is paired with company-provided mental-health access and support for gender-affirming care. Fitness reimbursements in eligible locations further bolster wellbeing.
  • Parental & Family SupportFully paid gender-neutral parental leave and extensive family-forming benefits (adoption fertility preservation surrogacy) are highlighted. Childcare subsidies and pet-related support where eligible add practical family assistance.
  • Equity Value & AccessibilityNew-hire RSUs and an employee stock purchase plan at a discount provide broad ownership opportunities. Feedback suggests these equity programs meaningfully complement cash compensation in many roles.

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The Company
HQ: New York NY
6500 Employees
Year Founded: 2010

What We Do

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.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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Date Posted

05/07/2026

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