Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

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: 

• Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance 
• Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams 
• Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are: 

• A seasoned backend engineer with deep expertise in designing and building distributed systems 
• Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor 
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle 
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners 
• Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 

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.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

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: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

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.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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.

#LI-Hybrid

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

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:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

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:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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.

#LI-Hybrid

The AI Platform team at Datadog builds the infrastructure that powers the next generation of generative AI features across our products.

As a Senior Software Engineer on the Evaluation and Annotation team, you will design and evolve the systems that define and measure AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows that assess correctness, safety, bias, and reliability across production use cases.

Your work will directly shape how Datadog ships and maintains trustworthy AI capabilities. You will partner closely with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that continuously improve model behavior.

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:

• Design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across Datadog’s product ecosystem
• Lead efforts to build human-in-the-loop and automated annotation pipelines for model assessment, ensuring high-quality training and feedback data
• Define and implement continuous evaluation workflows in CI/CD and production environments to monitor model behavior in real time
• Analyze model outputs for correctness, bias, safety, and reliability and translate insights into actionable improvements
• Collaborate cross-functionally with Applied Scientists, Researchers, product managers, and platform engineers to establish best practices for responsible AI
• Mentor team members and contribute to long-term technical strategy focused on AI quality, trust, and safety

Who You Are:

• You have 6+ years of experience building large-scale distributed systems or machine learning systems in production environments
• You’ve designed infrastructure to support AI/ML model evaluation, annotation, or benchmarking workflows
• You approach engineering with a focus on system design, long-term maintainability, and reliability
• You bring a strong understanding of AI/ML concepts, including evaluation metrics, prompt analysis, and trust & safety challenges
• You thrive in cross-functional teams and communicate effectively with technical and non-technical stakeholders
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
• Bonus: you’ve used open-source tools like evaluation frameworks (e.g., lm-eval-harness), vector databases, or human feedback loops

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.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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.

#LI-Hybrid

The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.

We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:

• Large‑scale experimentation, training, deployment, and monitoring

• Developer toolchains for agents and other GenAI applications

• Low‑latency serving infrastructure that plugs AI features into any Datadog product

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:

• Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
• Create a development ecosystem that enables rapid experimentation and deployment of algorithms 
• Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams 
• Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
• You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
• You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
• You have extensive experience executing projects that span data engineering, data science, and machine learning
• You ship fast, route around blockers, and are comfortable working with ambiguity
• You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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.

#LI-Hybrid