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Staff AI Engineer - Notebooks

Remote Posted Jun 30, 2026 0 views

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Job description

DatadogJobs
Staff AI Engineer - Notebooks

Staff AI Engineer - Notebooks

Reposted 18 Hours Ago
Easy Apply
New York NY USA
Hybrid
234K-300K Annually
Expert/Leader
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers IT ops teams and business users in the cloud age.
The Role
Technical leader building AI-driven features for Datadog Notebooks: design prototype deploy and scale ML workflows (agents retrieval prompt management) run experiments define metrics and coordinate cross-team product integration.
Summary Generated by Built In

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.


#LI-Hybrid

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:
$234000$300000 USD

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.

Skills Required

  • BS/MS/PhD in a scientific field or equivalent experience
  • 10+ years of relevant engineering experience and experience acting as a technical lead
  • Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
  • Significant experience in model deployment development training fine-tuning and evaluation
  • Experience developing agent systems including retrieval and planning strategies guardrails prompt management and fallbacks
  • Product-minded with strong communication skills and ability to drive product direction
  • Passionate about mentoring others and cultivating a high-performing engineering culture

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The Company
HQ: New York NY
6500 Employees
Year Founded: 2010

What We Do

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.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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