AI Engineer Jobs at Datadog with Visa Sponsorship
Datadog hires AI Engineers to build and scale the intelligence layer of its observability platform, spanning ML pipelines, LLM integrations, and real-time inference systems. The company has a consistent track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates in this function.
See All AI Engineer at Datadog JobsOverview
Showing 5 of 39+ AI Engineer Jobs at Datadog jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 39+ AI Engineer Jobs at Datadog
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Datadog.
Get Access To All JobsINTRODUCTION
As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. 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.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
- Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
- Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
- Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage.
- Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
- Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
- Raise team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.
BASIC QUALIFICATIONS
Who You Are:
- Experience designing or operating distributed systems at scale.
- Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
- Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
- Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
- Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
- Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains.
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
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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.
INTRODUCTION
As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. 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.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
- Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
- Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
- Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage.
- Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
- Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
- Raise team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.
BASIC QUALIFICATIONS
Who You Are:
- Experience designing or operating distributed systems at scale.
- Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
- Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
- Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
- Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
- Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains.
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
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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.
See all 39+ AI Engineer at Datadog jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at Datadog roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at Datadog Jobs
Align your portfolio to observability ML
Datadog's AI Engineer roles center on anomaly detection, log analysis, and LLM-powered workflows. Showcase projects involving time-series data, streaming inference, or retrieval-augmented generation to signal direct fit before your application reaches a recruiter.
Confirm LCA posting before accepting an offer
Before you sign, ask your recruiter whether the Labor Condition Application has been filed with DOL for your specific work location. Remote and hybrid roles sometimes complicate the prevailing wage determination, so get clarity early.
Target roles explicitly requesting ML infrastructure experience
Datadog posts AI Engineer positions across observability, APM, and platform teams. Roles tied to internal ML infrastructure or model serving pipelines tend to have clearer specialty occupation arguments, which strengthens an H-1B petition if you reach the filing stage.
Use Migrate Mate to filter verified AI Engineer openings at Datadog
Search Migrate Mate's job board to find AI Engineer roles at Datadog that are confirmed open to visa sponsorship, so you're not applying blind to postings that exclude international candidates.
Prepare for technical screens before discussing visa timeline
Datadog's interview process for AI Engineers typically runs through system design and ML fundamentals rounds before compensation and sponsorship come up. Clear the technical bar first, then raise filing timelines with the recruiter once you're in the offer stage.
AI Engineer at Datadog jobs are hiring across the US. Find yours.
Find AI Engineer at Datadog JobsFrequently Asked Questions
Does Datadog sponsor H-1B visas for AI Engineers?
Yes, Datadog sponsors H-1B visas for AI Engineers. The company files petitions across multiple visa categories, and AI Engineer roles typically qualify as specialty occupations given the degree requirements in computer science, machine learning, or a related field. If you're on OPT, Datadog can also support your status while an H-1B petition is pending.
How do I apply for AI Engineer jobs at Datadog?
Apply directly through Datadog's careers page and filter by engineering or AI and machine learning. Before applying, tailor your resume to the specific team's focus, whether that's ML platform, observability AI, or LLM integrations. You can also browse open AI Engineer roles at Datadog confirmed for visa sponsorship on Migrate Mate to surface the right openings faster.
Which visa types does Datadog commonly use for AI Engineers?
Datadog sponsors H-1B and H-1B1 visas for most AI Engineer hires, along with TN status for Canadian and Mexican nationals. For candidates on F-1, the company works with both OPT and CPT. Longer-term, Datadog supports employment-based Green Card pathways including EB-2 and EB-3 through the PERM labor certification process.
What qualifications does Datadog expect for AI Engineer roles?
Most AI Engineer postings at Datadog require a bachelor's degree or higher in computer science, machine learning, or a related technical field. Practical experience with ML frameworks, model deployment at scale, and distributed systems matters as much as credentials. Roles focused on LLM integration increasingly expect familiarity with RAG architectures, vector databases, and prompt engineering in production environments.
How do I time my application around visa filing deadlines?
If you're targeting H-1B sponsorship, USCIS opens registration in March for an October 1 cap-subject start date. Back-calculate from there: Datadog's full interview loop typically takes four to eight weeks, so starting outreach in November or December gives you enough runway to receive an offer before the registration window opens.
See which AI Engineer at Datadog employers are hiring and sponsoring visas right now.
Search AI Engineer at Datadog Jobs