Workday

Workday

Sr. Product Manager - Observability

USA, CA, Pleasanton · Senior

Sponsorship not specifiedDetected 3 days ago
Distributed SystemsElasticsearchVector DatabasesGrafanaDatadogSite Reliability EngineeringKafkaMachine LearningData ScienceLLMsProduct ManagementProduct StrategyForecastingHRISResearchCommunicationMentoring

Stay score

odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 92 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Workday, Inc. obtained a prevailing wage determination for Software Developers in Boulder, COLORADO on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 7 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 98%

Of 58 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

49 transfer filings in the last year, covering 49 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • 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.
  • How we help our customers: Every engineering, SRE, and product team at Workday depends on us to see inside their systems - from a single service's 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 Workday's customers.

Responsibilities

  • Define and drive the roadmap for AI-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
  • 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)
  • work closely with design, engineering, and data science to bring them to life
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 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)
  • 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
  • ability to translate complex technical and ML concepts for varied audiences
  • 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
  • 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).
  • Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.

Skills

  • Your work days are brighter here.

Compensation

  • $168,000 USD - $252,000 USD
  • $140,600 USD - $252,000 USD
  • In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Benefits

  • Define and track success metrics (detection precision/recall, MTTD, MTTR, alert noise reduction, triage automation rate, trace coverage) to measure product impact
  • Our Approach to Flexible Work
  • This means you'll 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.

Company info

  • The Data Platform and Observability Engineering (DPOE) team is building Workday's 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 service's latency spike to a cross-service cascading failure impacting thousands of 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 Workday's platform.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
  • Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Apply directly at Workday →Create a free account for alerts like thisView Workday immigration profile

This listing is sourced directly from Workday's careers page and normalized into a canonical job model.