Datadog Logo

Datadog

Staff Software Engineer - ML Observability

Posted 2 Hours Ago
Be an Early Applicant
Easy Apply
Hybrid
2 Locations
Senior level
Easy Apply
Hybrid
2 Locations
Senior level
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.
The summary above was generated by AI

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

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 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.

Top Skills

Large Language Models (Llms),Generative Ai,Inference Pipelines,Prompt Engineering,Observability Tools/Platforms,Distributed Systems,Scalable Backend Architectures

Datadog London, England Office

Datadog United Kingdom Office

48-50 Cowcross St London, London, United Kingdom, EC1M 3HP

Similar Jobs at Datadog

2 Hours Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Technical leader building AI-driven features for Datadog Notebooks: design, prototype, deploy, and scale ML workflows (agents, retrieval, prompt management), run experiments, define metrics, and coordinate cross-team product integration.
Top Skills: Agent SystemsAi/MlDatadog NotebooksHuman-In-The-LoopModel DeploymentModel EvaluationModel Fine-TuningModel TrainingPrompt EngineeringRetrieval Systems
2 Hours Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead a team building production systems for code understanding and automated code changes. Drive technical direction, partner cross-functionally, maintain evaluation/monitoring pipelines, ensure production readiness (on-call, SLIs/SLOs, postmortems), own hiring and career growth, and uphold engineering rigor for data pipelines, model inputs, reproducibility, and CI/CD.
Top Skills: Python,Go,Llms,Machine Learning,Model Serving,Ci/Cd,Telemetry Ingestion,Parsers,Pr Automation,Slis/Slos,Sre
4 Hours Ago
Easy Apply
Hybrid
2 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
The Strategic Account Executive will prospect into large State, Local, and Education organizations, build relationships, negotiate pricing, and meet sales targets while maintaining customer satisfaction.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account