AI Engineer Jobs at Datadog with Visa Sponsorship
AI Engineer jobs at Datadog involve building and scaling 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.
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Get Access To All JobsINTRODUCTION
We're looking for an experienced sourcing leader to join the Datadog Procurement team and help grow the Strategic Sourcing group. Make an impact by partnering closely with senior technology and business leaders, owning our fastest-growing AI, neocloud, and inference spend end-to-end, and continuing to prove the value that Strategic Sourcing brings to the organization.
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
- Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives
- Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable
- Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows
- Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets
- Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base
- Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level
- Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends, and report outcomes and recommendations to leadership
- Partner cross-functionally with Procurement Operations, Legal, and Security to ensure compliant, scalable execution
BASIC QUALIFICATIONS
- 8+ years supporting procurement through strategic sourcing, with a history of category ownership and negotiated savings, ideally across AI software and services, SaaS, and engineering tooling, with neocloud or compute a plus
- Fluent in AI spend economics: foundation-model and API pricing, seat- and consumption-based SaaS models, and the cost drivers behind inference, with neocloud provider models an emerging area
- Able to lead complex, high-spend negotiations independently and present business cases and savings outcomes to senior stakeholders and Finance leaders in a clear, concise way
- Strong executive presence, with the ability to build trust and align senior leaders (up to the executive level) on strategy and commercial trade-offs
- Curious about AI and emerging technologies, with a track record of turning them into practical applications that improve team productivity and sourcing workflows
- Able to create structure in ambiguous, high-growth environments: global initiatives, scaling headcount, and breaking down silos
- Able to become an SME for sourcing and procurement systems such as Zip, and hold a Bachelor's degree in a related field
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.
PREFERRED QUALIFICATIONS
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.
LI-Hybrid
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.
INTRODUCTION
We're looking for an experienced sourcing leader to join the Datadog Procurement team and help grow the Strategic Sourcing group. Make an impact by partnering closely with senior technology and business leaders, owning our fastest-growing AI, neocloud, and inference spend end-to-end, and continuing to prove the value that Strategic Sourcing brings to the organization.
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
- Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives
- Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable
- Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows
- Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets
- Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base
- Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level
- Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends, and report outcomes and recommendations to leadership
- Partner cross-functionally with Procurement Operations, Legal, and Security to ensure compliant, scalable execution
BASIC QUALIFICATIONS
- 8+ years supporting procurement through strategic sourcing, with a history of category ownership and negotiated savings, ideally across AI software and services, SaaS, and engineering tooling, with neocloud or compute a plus
- Fluent in AI spend economics: foundation-model and API pricing, seat- and consumption-based SaaS models, and the cost drivers behind inference, with neocloud provider models an emerging area
- Able to lead complex, high-spend negotiations independently and present business cases and savings outcomes to senior stakeholders and Finance leaders in a clear, concise way
- Strong executive presence, with the ability to build trust and align senior leaders (up to the executive level) on strategy and commercial trade-offs
- Curious about AI and emerging technologies, with a track record of turning them into practical applications that improve team productivity and sourcing workflows
- Able to create structure in ambiguous, high-growth environments: global initiatives, scaling headcount, and breaking down silos
- Able to become an SME for sourcing and procurement systems such as Zip, and hold a Bachelor's degree in a related field
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.
PREFERRED QUALIFICATIONS
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.
LI-Hybrid
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.
Tips for Finding AI Engineer Jobs at Datadog
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.
Register for H-1B lottery in your final OPT year
If you're on F-1 OPT, USCIS only accepts H-1B registrations in March each year for an October 1 start. Missing one cycle means waiting a full year, so coordinate your job search timeline with Datadog's recruiting calendar to avoid a gap.
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.
Frequently 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 visa 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.