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About the Role

We are seeking an Engineering Manager II to lead and expand the Observability Pipelines engineering organization during a critical growth phase. This role involves managing a distributed team, shaping technical direction, and collaborating with Product to define the roadmap and operational cadence for a key Datadog product.

Responsibilities

• 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
• Partner directly with Product to co-own the roadmap and strategy
• 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

Requirements

• Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate
• 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
• 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

Skills

• Experience with high-performance or Rust-based data pipeline systems is a strong plus

Location

• NYC
• Paris

Work Type

• Hybrid

Experience Level

• Manager of Managers
• Senior

Salary/Compensations

• $252,000—$315,000 USD

Benefits

• New hire stock equity (RSUs)
• 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
• Healthcare
• Dental
• Parental planning
• Mental health benefits
• 401(k) plan and match
• Paid time off
• Fitness reimbursements
• Discounted employee stock purchase plan

About the Company

• 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

• 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.
• 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.
• 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.