AI Product Engineer Jobs at Datadog with Visa Sponsorship
Datadog's AI Product Engineer roles 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 a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
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
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
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.
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Get Access To All JobsTips for Finding AI Product Engineer Jobs at Datadog Jobs
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 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.
AI Product Engineer at Datadog jobs are hiring across the US. Find yours.
Find AI Product Engineer at Datadog JobsFrequently 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 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.
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