Manager II, Engineering - Observability Pipelines

We're looking for an Engineering Manager II to own and grow the Observability Pipelines engineering org at Datadog. Observability Pipelines is Datadog's on-premise, vendor-agnostic telemetry pipeline product. 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. Datadog operates as a hybrid workplace.

• 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
• 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

• Experienced managing managers across distributed teams
• Background in distributed systems and high-throughput data infrastructure
• Familiar with on-premises or customer-installed software and the operational tradeoffs
• A strategic partner to Product
• Commercially aware
• Experience with high-performance or Rust-based data pipeline systems is a strong plus

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program
• Inclusive company culture, Community Guilds
• Access to Inclusion Talks
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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.