Senior Director of Production Engineering-Observability & Telemetry Platforms

Role

We are looking for a Senior Director of Production Engineering to join our team. This is a Hybrid role, reporting to executive engineering leadership in the Production Engineering department. We are seeking an exceptional, battle-tested engineering executive to hold end-to-end strategic, technical, and operational ownership of our distributed Telemetry Pipelines and enterprise-wide Observability Platform. Our cloud platform operates at an immense global scale, processing hundreds of billions of transactions and petabytes of telemetry data daily. You will be responsible for defining and executing our multi-year vision, modernizing our observability architecture, driving platform reliability, and empowering globally distributed engineering organizations with real-time insights into availability, performance, and user experience.

What you’ll do (Role Expectations)

• Define the long-term roadmap and architectural strategy for the global Observability Platform, driving the strategic consolidation and modernization of monitoring stacks on open standards like OpenTelemetry to optimize total cost of ownership

• Architect, scale, and optimize high-throughput, low-latency telemetry ingestion and processing pipelines handling petabyte-scale streaming data to ensure fault tolerance, durability, and cost efficiency

• Optimize platform performance and resource utilization to maintain industry-leading service margins while handling aggressive year-over-year telemetry volume growth

• Partner with Site Reliability Engineering, Core Product, and incident management teams to establish standardized SLOs, enforce error budgets, and ensure high-fidelity alerting with streamlined escalation workflows

• Lead, mentor, and inspire a world-class engineering organization across multiple global sites while acting as a trusted partner to align operational telemetry with business outcomes

Who You Are (Success Profile)

• Lead with empathy, thriving on developing high-performing, diverse engineering teams and mentoring managers and technical leaders.

• Think strategically, bringing a proven track record of managing large organizations and driving consensus across complex, matrixed business environments.

• Champion an inclusive culture, fostering psychological safety, transparency, continuous learning, and a passion for engineering excellence.

• Operate as an operational perfectionist, demonstrating deep ownership, a passion for automating repetitive toil, and a commitment to building resilient, fault-tolerant architectures.

• Collaborate seamlessly across boundaries, bridging the gap between deep technical details and high-level executive business objectives.

What We’re Looking for (Minimum Qualifications)

• Experience leveraging generative AI tools, AI/ML models, or intelligent agents to optimize production engineering workflows, automate incident response toil, or enhance predictive observability analytics

• Progressive engineering leadership experience totaling 7+ years managing managers, technical leads, and distributed engineering organizations of 30+ engineers within hyper-scale SaaS, cloud provider, or high-transaction distributed systems environments

• Deep subject matter expertise in modern observability and telemetry systems, including distributed tracing, high-cardinality metrics engines, distributed log analytics, and telemetry routing using technologies such as OpenTelemetry, Kafka, Flink, Vector, VictoriaMetrics, Grafana, Prometheus, ClickHouse, or OpenSearch

• Strong architectural foundation in cloud-native paradigms, container orchestration with Kubernetes, and microservices, combined with a practical grasp of Site Reliability Engineering methodologies and incident command structures

• Proven track record of influencing executive stakeholders and driving cross-functional alignment, with the ability to work on-site at Headquarters at least 3 days a week

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency

• Advanced experience with compliance, data retention, PII masking, and data governance requirements within large-scale logging and telemetry environments

• Active contribution to open-source communities in the observability or telemetry space, such as OpenTelemetry or Prometheus

• Experience designing and implementing chaos engineering practices or automated disaster recovery testing at scale

#LI-CM3

#LI-Hybrid