Sr. Product Manager Observability

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Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

The Data Platform and Observability Engineering (DPOE) team is building Workdays next-generation multi-petabyte scale Observability Platform. We own the libraries distributed services and infrastructure that power ingestion storage and query across the observability stack Iceberg ClickHouse Tempo Mimir Grafana S3 Kafka and Elasticsearch serving traces metrics and logs for every workload at Workday.

How we help our customers: Every engineering SRE and product team at Workday depends on us to see inside their systems from a single services latency spike to a cross-service cascading failure impacting thousands of customers. By owning the full observability data lifecycle at petabyte scale we give internal teams the speed and confidence to find and fix issues before they affect Workdays customers. Our roadmap directly shapes how the company detects diagnoses and eventually predicts operational issues at scale turning observability from a reactive debugging tool into a proactive AI-assisted safety net for every workload running on Workdays platform.

About the Role

We are looking for a hands-on technical Senior Product Manager (P4) to own and drive our Observability strategy with a strong emphasis on Distributed Tracing. You will define the product vision for how engineers understand debug and optimize complex distributed systems with a particular focus on buildingAI-powered detection and triagecapabilities that reduce time-to-detect and time-to-resolve production issues. This role requires someone comfortable diving deep into technical architecture discussions reading code/traces and partnering closely with engineering and applied ML teams to ship technically sound high-impact products.

• Own the product vision strategy and roadmap for Observability with a primary focus on Distributed Tracing capabilities (trace context propagation sampling strategies span analysis service maps latency/error analysis etc.)
• Define and drive the roadmap forAI-enabled anomaly detection including specifying requirements for statistical and ML-based detection methods (e.g. time-series forecasting seasonality-aware baselining change-point detection multivariate anomaly detection across correlated metrics/traces/logs)
• Partner with ML engineering to define model requirements evaluation metrics (precision/recall false-positive rate alert-to-incident ratio) and feedback loops for continuous model improvement
• Define requirements forLLM-based root cause summarization and triage assistance e.g. generating human-readable incident summaries from raw trace/log/metric data ranking probable root causes suggesting remediation runbooks based on historical incident patterns
• Specify how confidence scores explainability and human-in-the-loop review are surfaced in the triage workflow so on-call engineers can trust and act on AI-generated recommendations
• Partner closely with engineering teams to define technical requirements evaluate architectural trade-offs and make hands-on contributions to product decisions (e.g. reviewing design docs understanding OpenTelemetry/OTel standards tracing protocols and instrumentation approaches)
• Define and track success metrics (detection precision/recall MTTD MTTR alert noise reduction triage automation rate trace coverage) to measure product impact
• Conduct customer and internal stakeholder research to identify pain points in debugging alert fatigue and incident triage
• Write clear detailed product requirements user stories and specs; work closely with design engineering and data science to bring them to life
• Stay current on industry trends in observability (OpenTelemetry eBPF-based tracing service mesh telemetry) and applied AI/ML for anomaly detection incident correlation and LLM-based operational tooling

About You

Basic Qualifications

• 8 years of product management experience with meaningful time spent in Observability Monitoring APM or related infrastructure/developer tooling domains
• Deep demonstrable expertise in Distributed Tracing concepts and technologies (e.g. OpenTelemetry Jaeger Zipkin trace sampling span/context propagation)
• Strong technical background comfortable reading code understanding system architecture APIs and engaging directly in technical design discussions
• Concrete hands-on understanding ofAI/ML techniques applied to detection and triage including:
  • Anomaly detection methods (statistical thresholds time-series forecasting models change-point/seasonality detection)
  • Alert correlation and clustering techniques (embedding/vector similarity graph-based dependency analysis unsupervised clustering)
  • LLM-based summarization and reasoning for incident root-cause analysis and runbook suggestion
  • Model evaluation frameworks (precision/recall false-positive/false-negative trade-offs drift monitoring)
• Experience partnering directly with ML engineering teams to translate detection and triage requirements into shippable models and features
• Proven track record of shipping complex technical products from concept to launch
• Excellent written and verbal communication skills; ability to translate complex technical and ML concepts for varied audiences
• Strong analytical and data-driven decision-making skills

• Prior experience as a software engineer SRE ML engineer or data scientist before transitioning to product management
• Familiarity with observability platforms (Datadog New Relic Honeycomb Grafana Splunk Dynatrace etc.) and their AI/ML-driven detection features
• Direct experience productionizing ML models (e.g. anomaly detectors classifiers LLM-based tools) for operational/incident-management use cases
• Familiarity with vector databases/embedding search graph-based correlation techniques or LLM prompt/agent design for triage automation
• Background in large-scale cloud-native microservices-based systems

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Primary Location:

Primary Location Base Pay Range: $168000 USD - $252000 USD

Additional US Location(s) Base Pay Range: $140600 USD - $252000 USD

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

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Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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