AI Product Engineer Jobs at Datadog with Visa Sponsorship
AI Product Engineer jobs at Datadog sit at the intersection of observability infrastructure and applied machine learning, drawing engineers who can shape AI-native product experiences at scale. Datadog has a consistent track record of sponsoring work visas for engineers in this function, making it a strong target for international candidates.
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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 Product Engineer Jobs at Datadog
Align your portfolio to Datadog's AI roadmap
Datadog's AI Product Engineering work centers on LLM observability, agentic monitoring, and AI-native alerting. Frame your projects around these domains, not generic ML. Interviewers respond to candidates who know where the product is headed.
Verify your degree maps to specialty occupation
USCIS requires your degree field to directly relate to the role for H-1B specialty occupation approval. For AI Product Engineer roles, a degree in computer science, software engineering, or a closely adjacent field strengthens your petition considerably compared to a general business or unrelated STEM degree.
Target teams actively building AI features
Datadog's Bits AI, LLM Observability, and AI Integrations teams are actively hiring for this function. Referencing specific product areas in your cover letter and recruiter outreach signals genuine product knowledge and increases your chances of landing a sponsored role.
Understand which visa fits your nationality
Datadog sponsors multiple visa types, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, TN for Canadians and Mexicans, and F-1 OPT for recent graduates. Knowing which category applies to you before your offer conversation avoids delays and shows you're serious about the process.
Use Migrate Mate to track open AI Product Engineer roles
Datadog posts AI Product Engineer roles across multiple teams and regions. Use Migrate Mate to filter specifically for Datadog positions that support visa sponsorship, so you're applying to openings where sponsorship is already confirmed rather than guessing from a generic job board.
Negotiate offer timing around H-1B cap deadlines
If you need cap-subject H-1B sponsorship, USCIS registration opens in March each year with an April 1 filing deadline. If you receive an offer in late spring, confirm with Datadog's immigration team whether cap-exempt filing or OPT extension can bridge you to the next cycle.
Frequently Asked Questions
Does Datadog sponsor H-1B visas for AI Product Engineers?
Yes, Datadog sponsors H-1B visas for AI Product Engineers and has an active track record of doing so across its engineering organization. Sponsorship is handled through Datadog's internal immigration team in partnership with outside counsel. If you're in active interviews, it's worth asking the recruiter early in the process to confirm sponsorship eligibility for your specific visa category and role level.
How do I apply for AI Product Engineer jobs at Datadog?
Apply directly through Datadog's careers site, targeting teams like AI Integrations, LLM Observability, or Bits AI where this function is most active. Tailor your resume to reflect AI product development experience, including any work with LLMs, observability tooling, or developer-facing AI features. You can also browse open roles filtered by visa sponsorship status on Migrate Mate before applying.
Which visa types does Datadog commonly use for AI Product Engineer roles?
Datadog sponsors H-1B and H-1B1 visas for AI Product Engineers depending on your nationality, along with TN visa status for Canadian and Mexican nationals in qualifying roles. F-1 OPT and CPT are also supported for students and recent graduates. For longer-term pathways, Datadog has sponsored EB-2 and EB-3 Green Card petitions for engineers in this function, which typically begins after you've been with the company for some time.
What qualifications does Datadog expect for AI Product Engineer roles?
Datadog typically looks for engineers with a bachelor's degree or higher in computer science, software engineering, or a related field, combined with hands-on experience building AI-powered or ML-integrated products. Familiarity with LLMs, API design, and cloud-native infrastructure is common across job postings. Prior experience with observability platforms, distributed systems, or developer tooling is a strong differentiator for this specific role at Datadog.
How long does the visa sponsorship process take when joining Datadog as an AI Product Engineer?
Timeline depends on your visa type. H-1B sponsorship tied to the annual cap requires USCIS registration in March, with employment starting no earlier than October 1 of that year. TN status for Canadians can be obtained at the border in days. F-1 OPT allows you to start working within the 90-day reporting window after your program end date. Datadog's immigration team typically initiates the process shortly after your offer is accepted.