Job Description
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.
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.
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
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate critique and refine AI-generated output
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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)
Nice to have
- 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
- 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.
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.
Skills Required
- 4+ years building backend or real-time ML systems
- Proven experience delivering LLM/agent features to production
- Strong grasp of the ML lifecycle and statistics
- Experience with microservices performance
- Proficient in Go Java or Python
What the Team is Saying


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Datadog Compensation & Benefits Highlights
- Healthcare Strength—Medical dental and vision coverage paired with dedicated mental‑health access (including free annual sessions for employees and dependents) and gender‑affirming care indicates robust healthcare support. Fitness reimbursements further reinforce preventative wellness.
- Parental & Family Support—Fully paid gender‑neutral parental leave alongside family‑forming support (adoption fertility preservation surrogacy) and childcare assistance shows strong backing for growing families. Pet‑related assistance in eligible offices expands family‑oriented offerings.
- Equity Value & Accessibility—An employee stock purchase plan with a discount and RSUs for many roles broaden access to ownership. This equity mix enhances total rewards beyond base pay.
Datadog Insights
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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Datadog Offices
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.



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