About the position
Work Matters. It’s where we spend a third of our lives—and the workplace of the future should be a place where people thrive. That’s why we put people at the heart of everything we do. Our teams are driven by a passion for learning, building, and innovating. Whether you're in engineering, sales, finance, or another function, every role is designed to create meaningful impact and provide room to grow. The Core Platform is a global organization made up of hundreds of Software Engineers, Quality Engineers, Product Managers, Designers, Strategic Operations, and Leaders. We deliver best-in-class performance, resiliency, scalability, and security for over 8,400 customers, including more than 85 percent of the Fortune 500, with a 98 percent renewal rate. This specific team is within the Telemetry group that belongs in the Platform Core Experiences. They are responsible for collecting, processing, and displaying performance data at scale for internal and external needs.
Responsibilities
- Define and drive the strategic vision for enterprise performance telemetry across all platforms and environments (cloud, on-prem, mobile, etc.).
- Develop a comprehensive 3-year roadmap that aligns with company goals and user needs, focusing on scalability, reliability, and data visibility.
- Partner with executive leadership to prioritize strategic initiatives that support innovation, operational excellence, and customer satisfaction.
- Identify key performance indicators (KPIs) for product and platform health to inform leadership reporting and real-time monitoring solutions.
- Collaborate with Engineering, Design, and QE teams to define desired product outcomes, success metrics, and acceptance criteria.
- Lead release planning activities including epic and user story creation, backlog grooming, sprint planning, and stakeholder demos.
- Ensure telemetry solutions are highly performant, secure, and seamlessly integrated into existing workflows.
- Partner with DevOps and architecture teams to evolve observability standards and instrumentation practices.
- Actively engage with customers, partners, and internal stakeholders (e.g., SRE, Support, Customer Success) to capture feedback and identify pain points.
- Translate user insights into actionable product requirements and enhancement opportunities.
- Lead customer discovery sessions and proof-of-concept initiatives to validate new telemetry capabilities and UX flows.
- Serve as the internal voice of the customer for all things performance telemetry—balancing internal priorities with external impact.
- Act as the subject matter expert on telemetry best practices and observability tooling across the organization.
- Evangelize the use of telemetry data to drive operational decisions, improve reliability, and optimize system performance.
- Collaborate with Product Marketing and GTM teams to communicate the value and competitive differentiation of new telemetry capabilities.
- Contribute to technical documentation, release notes, and internal training to support product adoption and stakeholder alignment.
Requirements
- 8+ years of experience leading and delivering data-intensive applications in application performance monitoring, observability, or AI monitoring.
- Master’s degree with 6+ years or PhD with 3+ years equivalent.
- Expertise in the performance domain—balancing tradeoffs in data collection, transport, storage, and query at scale.
- Ability to navigate and align a matrixed organization with diverse internal and external data needs.
- Strong domain knowledge of application performance monitoring and observability tools (e.g., New Relic, Datadog, Dynatrace, Splunk, Grafana).
- Working knowledge of Open Telemetry Protocols, collectors, and exporters.
- Experience with data collection, warehousing, and query solutions for large-scale environments.
- Proven track record leading and running Scrum teams in an Agile environment—driving backlog prioritization, sprint execution, and cross-functional collaboration.
Nice-to-haves
- Experience in AI Agent observability is highly preferred.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem-solving.
Benefits
- Base pay of $147,300 - $257,800, plus equity (when applicable), variable/incentive compensation and benefits.
- Health plans, including flexible spending accounts.
- 401(k) Plan with company match.
- ESPP, matching donations.
- Flexible time away plan and family leave programs.
