Manager I, Engineering - Zero Trust Networking
Company websitedatadoghq.com (Datadog, opens in new tab)
Base salary $192K to $240K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
Fabric Zero Trust Networking builds the infrastructure that makes secure service connectivity the default across Datadog. Our team develops workload-identity, authorization, network-segmentation, and egress-control mechanisms that help protect customer data while keeping our production platform reliable and efficient. As an engineering manager, you'll grow a team of engineers, shape its roadmap alongside technical leaders, and drive adoption across Datadog's infrastructure. You'll work at the intersection of distributed systems, networking, and security, turning complex requirements into platforms that other engineers can use confidently.
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:
- Lead, coach, and grow a team of software engineers, creating clear expectations, ownership, and career-development opportunities.
- Partner with senior engineers to set technical direction and deliver a roadmap for secure service connectivity and least-privilege network access.
- Lead development and adoption of identity-based authorization, TLS/mTLS enforcement, network-segmentation mechanisms, and egress controls.
- Make security capabilities straightforward to adopt through secure defaults, clear policy abstractions, migration tooling, and useful diagnostics.
- Maintain high standards for reliability, performance, and safe production rollouts, including testing, observability, and incident learning.
- Collaborate with Fabric, Security, and production-infrastructure partners to align priorities and deliver improvements across teams.
Who You Are:
- You have built and operated distributed systems, backend infrastructure, or internal platforms in production.
- You communicate clearly, build productive cross-team relationships, and have experience working with engineers across multiple locations and time zones.
- You understand networking and security fundamentals and are interested in building the mechanisms that enforce security on production traffic.
- You have led complex infrastructure changes or migrations with a thoughtful approach to adoption, compatibility, and rollout safety.
- You combine technical curiosity with pragmatic judgment and care about making platforms reliable, secure, and easy to use.
- You have experience leading software engineers and helping them grow through coaching and feedback.
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:
$192,000—$240,000 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.
Source: Datadog on Greenhouse · View original posting (opens in new tab)
This listingManager I, Engineering - Zero Trust Networking$192K to $240K
Manager I, Applied Science - Frontier Agentic Models$192K to $240K
Manager I, Engineering - Anomaly Detection$192K to $240K
Senior Platform Product Manager - AI SDLC Trusted Throughput$192K to $240K
Manager I, Engineering - Reference Tables Access$192K to $240K
Senior Product Manager - Journey Monitoring$192K to $240K
Manager I, Engineering - Code Intelligence$192K to $240K
Chart as a table
| Role | Published base |
|---|---|
| Manager I, Engineering - Zero Trust Networking (this listing) | $192K - $240K |
| Manager I, Applied Science - Frontier Agentic Models | $192K - $240K |
| Manager I, Engineering - Anomaly Detection | $192K - $240K |
| Senior Platform Product Manager - AI SDLC Trusted Throughput | $192K - $240K |
| Manager I, Engineering - Reference Tables Access | $192K - $240K |
| Senior Product Manager - Journey Monitoring | $192K - $240K |
| Manager I, Engineering - Code Intelligence | $192K - $240K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-03
Where this pay comes from
Location as the employer wrote it: New York, New York, USA
$192,000—$240,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
