Synced from Greenhouse · Sep 18

Engineering Manager

DatadogNew York, New York, USAPosted Sep 18, 2026
Engineering ManagerSenior
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Mirrored from Datadog's own Greenhouse careers system · refreshed hourly

$244k–$305k
Compensation
448
Other open Datadog roles
Sep 18
Posted
Greenhouse
Applicant system
Job descriptionReq 8212114

The Database Monitoring product is one of the fastest growing products at Datadog. We are not only monitoring databases, but providing self-healing loops on to our customers. For instance, we are building an AI agent which detects, remediates, validates, and deploys optimizations. We are seeking ambitious leaders who want to drive these initiatives from the ground up and own the lines of business which rely on them. 

You will help build and develop engineering teams, partner closely with Product, and help launch new capabilities that deliver measurable value to developers. AI-forward leaders with product engineering backgrounds will thrive in this role.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

 

What You’ll Do:

  • Launch new products and businesses into new markets.
  • Drive adoption and business outcomes alongside technical delivery, using customer feedback and product data to guide investment.
  • Continuously challenge the team to think about new vectors for market penetration. Our goal is to be in the toolkit of every company using a database. 
  • Own the roadmap of the Database Monitoring product, with particular emphasis on AI features and developer personas.
  • Hire, mentor, and develop engineering managers and staff engineers across multiple geographies.

Who You Are: 

  • You have hands-on experience partnering directly with customers to refine product experiences, find product-market fit, and coach teams through the process.
  • You take ownership beyond product delivery, leading the go-to-market strategy and driving adoption and commercial success.
  • You have a proven track record scaling exceptional product engineering teams: hiring, coaching, performance management, and building appropriate team structures.
  • You have experience deploying applications on Postgres.

 

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: 

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits


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:
$244,000—$305,000 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.

View original posting on Greenhouse

What applying to Datadog usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Datadog can generally expect an initial application review followed by a recruiter screening call, if selected. The process may include multiple stages such as a hiring manager conversation, technical or role-specific assessments, and panel interviews with prospective teammates or cross-functional stakeholders, depending on the position. For technical roles, candidates might encounter coding exercises, system design discussions, or case studies, while non-technical roles may involve skills-based exercises or presentations. Communication is typically handled through the greenhouse platform, with updates on status shared via email. Response times vary based on team needs and volume of applicants, so candidates should be prepared for some variability in scheduling and turnaround. Following up politely after each stage is commonly seen as reasonable practice.

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Engineering Manager
Datadog · New York, New York, USA
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