Manager II, Engineering - Observability Pipelines
Datadog · Not provided by source
MeritLog read this listing from Datadog's Greenhouse job board and last checked it on September 9, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- $252,000 - $315,000
- Location
- New York, New York, USA
Hiring context
How this role compares at Datadog
Datadog has 451 live roles in MeritLog’s catalog across 13 job families, and 141 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Directly manage the OP org including EM1s across NYC and Paris, set technical direction, and be the connective tissue across a distributed team
- Build out the management and technical leadership layers as the org continues to grow - today ~20 ICs
- Partner directly with Product to co-own the roadmap and strategy, helping decide where OP’s engineering investment goes next
- Set and evolve the operating rhythm across the group: planning cadence, on-call and incident standards, and cross-team alignment
- Own key cross-org relationships with the SaaS Logs Pipelines team, the BYOC team, and the Vector open-source community
- Coach managers and senior engineers, and build the succession and growth plans that let the org scale beyond you
What they're asking for
- Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate, not just delivering through themSkill
- Background in distributed systems and high-throughput data infrastructure, enough to guide architectural and build-vs-buy decisions at the domain levelSkill
- Familiar with on-premises or customer-installed software and the operational tradeoffs it introduces - support escalations are more complex, incidents are harder to diagnose, and environments vary enormouslySkill
- A strategic partner to Product - you help set the roadmap, not just execute against itSkill
- Commercially aware: you understand the competitive landscape and can connect engineering decisions to business outcomesSkill
- Experience with high-performance or Rust-based data pipeline systems is a strong plusSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
We're looking for an Engineering Manager II to own and grow the Observability Pipelines engineering org at a pivotal moment in the product's lifecycle. Observability Pipelines is Datadog's on-premise, vendor-agnostic telemetry pipeline product, with a lot still to build as it grows and scales. It sits at the center of a fast-consolidating market, is central to Datadog's data pipeline optimization story for Logs and Metrics customers. This is a build-and-scale opportunity: you'll grow the management and technical leadership layers, co-own the roadmap with Product, and define how this org operates as it continues to expand. 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: • Directly manage the OP org including EM1s across NYC and Paris, set technical direction, and be the connective tissue across a distributed team • Build out the management and technical leadership layers as the org continues to grow - today ~20 ICs • Partner directly with Product to co-own the roadmap and strategy, helping decide where OP’s engineering investment goes next • Set and evolve the operating rhythm across the group: planning cadence, on-call and incident standards, and cross-team alignment • Own key cross-org relationships with the SaaS Logs Pipelines team, the BYOC team, and the Vector open-source community • Coach managers and senior engineers, and build the succession and growth plans that let the org scale beyond you Who You Are: • Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate, not just delivering through them • Background in distributed systems and high-throughput data infrastructure, enough to guide architectural and build-vs-buy decisions at the domain level • Familiar with on-premises or customer-installed software and the operational tradeoffs it introduces - support escalations are more complex, incidents are harder to diagnose, and environments vary enormously • A strategic partner to Product - you help set the roadmap, not just execute against it • Commercially aware: you understand the competitive landscape and can connect engineering decisions to business outcomes • Experience with high-performance or Rust-based data pipeline systems is a strong plus 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. 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. 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. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. 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: $252,000-$315,000 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.
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