Job Description

In this role, you will support Datadog’s Commercial Sales and Customer Success teams by reviewing, drafting, and negotiating customer-facing agreements, while developing your skills as an in-house commercial attorney. You will collaborate closely with cross-functional partners, including Sales, Customer Success, Deal Desk, Privacy, Customer Trust, and Product Legal, to help support deal execution within established legal frameworks and escalation paths. This role offers the opportunity to grow your commercial legal expertise through hands-on work, mentorship from experienced attorneys, and exposure to evolving SaaS legal issues such as privacy, security, and AI/ML.

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:

  • Review, draft, and negotiate customer subscription agreements, order forms, NDAs, and standard ancillary documents, such as DPAs and BAAs, using established templates and playbooks.
  • Support Sales and Customer Success teams on routine commercial matters by providing practical, timely legal support in support of efficient deal execution.
  • Identify legal and business issues in customer agreements and work with more senior legal team members to align on appropriate solutions and negotiation strategy.
  • Partner with subject matter experts in Privacy, Product Legal, and Customer Trust to incorporate guidance into customer negotiations.
  • Support Counsel and Senior Counsel on commercial matters and special projects, contributing to broader team initiatives as needed.
  • Assist with the ongoing improvement of legal templates, playbooks, and processes by supporting defined initiatives under the supervision of a project lead or manager to help scale commercial contracting in a thoughtful and consistent way.
  • Build strong working relationships with internal stakeholders by being collaborative, responsive, and solution-oriented.

Who You Are:

  • Possessing at least 2 years of relevant experience reviewing and negotiating commercial agreements (experience with SaaS contracts is preferred).
  • Demonstrate a foundational understanding of commercial legal concepts and are comfortable spotting issues, applying playbook guidance, and escalating non-routine matters appropriately.
  • Organized and able to manage multiple matters at once in a fast-paced environment.
  • Communicate clearly and effectively with legal and business partners, and are receptive to feedback and guidance.
  • Curious, motivated, and interested in continuing to develop judgment and confidence as an in-house commercial attorney.
  • Approach work with integrity, sound judgment, and a collaborative mindset.
  • Licensed to practice law and have earned a JD and bar admission in the U.S.
  • Able to work out of our New York office.

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 & 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:

$137,000—$200,000 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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