Manager II, Engineering - Observability Pipelines

United States Digital Space LLC; New York (NY); Hybrid; USD 252,000 - 315,000; Full time

Benefits offered by this job

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Career development

Mentor and buddy program

Inclusive culture

Inclusion Talks

Mental health benefits

Global benefits

Job summary

Datadog is seeking an Engineering Manager II to own and grow the Observability Pipelines group. This role sits at a pivotal moment in the product lifecycle, with a focus on building leadership, guiding architecture, and scaling the organization.

You will partner with Product to shape the roadmap while aligning engineering and business outcomes. You will manage a distributed team across NYC and Paris, build leadership layers, and establish operating rhythms.

Qualifications

• Experience leading managers across distributed teams and raising the bar in operations.
• Background in distributed systems and high-throughput data infrastructure.
• Strategic partner to Product, helping set roadmaps and investments.
• Experience with on-premises or customer-installed software and operational tradeoffs.

Responsibilities

• Directly manage the Observability Pipelines org, including EM1s across NYC and Paris.
• Build leadership layers as the org grows beyond ~20 ICs.
• Partner with Product to co-own roadmap and strategy for OP.
• Set operating rhythm: planning cadence, on-call and incident standards.
• Own cross-org relationships with SaaS Logs Pipelines, BYOC, and Vector communities.
• Coach managers and senior engineers to enable scalable growth.

Skills

Managing managers

Distributed systems

Strategic product partnership

High-throughput data infrastructure

Rust-based data pipelines

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 the company'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 the company'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 the company, 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

the company 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 (the company 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 the company.

About the company:

the company 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, the company enables businesses to move faster with clarity and confidence.

Equal Opportunity at the company:

the company 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.

the company 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, the company 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 the company is:

$252,000 — $315,000 USD

About the company:

the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company:

the company 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.

the company endeavors to make our Careers Page accessible to all users. If you would like to contac