Job Description

Mission

Own the functional design and capability roadmap for an enterprise observability event management platform — the intelligence layer that turns raw telemetry, alerts, events, and tickets into actionable incidents, faster diagnosis, and automated remediation. Event management sits at the center of the detect-to-correct value chain, converting high-volume operational signals into fewer, higher-quality, context-rich incidents and closed-loop recovery.

You will help advance a modern, vendor-agnostic, composable event management platform built on open industry standards, competing with the best commercial tools in a rapidly evolving market. Working at the intersection of SRE, incident intelligence, AI/ML, and engineering, you will translate product strategy into coherent capabilities — event correlation, noise reduction, anomaly detection, AI-assisted root cause analysis, and human-governed self-healing — that strengthen enterprise reliability across highly complex, interdependent application and platform landscapes. This is a high-impact role for a technically strong product leader who wants to shape state-of-the-art incident intelligence and automation at enterprise scale.

What You Will Enable

• Fewer, higher-quality signals — Give SRE and operations teams correlated, enriched, de-noised incidents that surface real problems fast, cutting alert fatigue and accelerating triage.
• Faster, AI-assisted diagnosis — Deliver contextual root cause analysis and incident intelligence that maps symptoms to probable causes across shared dependencies and cascading failures.
• Closed-loop, human-governed remediation — Enable automated and agentic recovery for recurring incidents, improving MTTD, MTTR, and self-healing rate while keeping humans in control.
• Reliability expressed in business terms — Turn operational evidence into quantified risk, SLO compliance, and readiness confidence for launches and peak demand.
• Continuous reliability improvement — Feed operational learning back into correlation logic, detection models, and automation so recurring weaknesses are systematically eliminated over time.

Responsibilities

• Own end-to-end functional design — Define how event management capabilities work individually and together across event ingestion, correlation, enrichment, anomaly detection, incident intelligence, and remediation orchestration; eliminate functional gaps, duplication, and inconsistent experiences.
• Own the capability roadmap — Translate product strategy, SRE needs, and the competitive event management landscape into a clear capability-level roadmap, defining what each capability must deliver to strengthen the detect-to-correct value chain and enable agentic self-healing.
• Lead deep technical discovery — Work directly with SREs, operations teams, platform engineers, application owners, and architects to understand operational pain points, failure modes, event patterns, and the complex technical setups of observed applications and platforms.
• Define rigorous product requirements — Turn discovery into functional specifications, user journeys, correlation and enrichment logic, integration requirements, non-functional expectations, user stories, and precise acceptance criteria that engineering teams can implement with confidence.
• Guide engineering design — Partner closely with engineers and architects on APIs, event and data models, integration patterns, correlation and ML approaches, scalability, security, and extensibility; challenge design choices and make functional trade-offs grounded in technical reality.
• Shape event management and agentic capabilities — Translate needs for event correlation, anomaly detection, incident intelligence, remediation orchestration, and human-governed agentic workflows into a coherent, forward-looking capability set informed by leading platforms and emerging patterns.
• Create a coherent, state-of-the-art product experience — Ensure consistent concepts, workflows, defaults, and automation patterns across capabilities and personas, benchmarked against leading event management and observability platforms and the evolving market.
• Assure functional quality and measurable value — Validate that delivered capabilities match design intent, work coherently end to end, and contribute to MTTD, MTTR, incident volume reduction, automation coverage, self-healing rate, SLO compliance, and user satisfaction.

Job Qualifications

Required

• Engineering or deeply technical product background strongly preferred — for example, prior experience as a Software Engineer, Platform Engineer, SRE, Observability Engineer, Solution Architect, Data/ML Engineer, or Technical Product Owner working closely with complex platform engineering teams.
• Experience shaping enterprise-grade, data-intensive, AI-powered, infrastructure, observability, or automation products, with evidence of taking ambiguous operational problems through discovery, functional design, roadmap ownership, and engineering delivery.
• Strong technical depth across cloud and distributed systems, event-driven architectures, APIs, data pipelines, telemetry, and AI/ML fundamentals; able to reason about architecture and implementation trade-offs without needing to be the primary coder.
• Proven ability to define functional product architecture, detailed specifications, user journeys, non-functional expectations, and precise acceptance criteria for complex technical capabilities.
• Excellent written and verbal English, with the ability to guide engineers and architects, explain design decisions clearly, and connect technical choices to SRE, reliability, user, and business outcomes.

Strong plus

• Hands-on or design-level experience with observability and event management technologies such as Datadog, Dynatrace, Splunk ITSI, ServiceNow ITOM, PagerDuty, BigPanda, Moogsoft, New Relic, Grafana, Prometheus, or OpenTelemetry.
• Deep familiarity with SRE practices and the operations value chain across observe and detect, correlate and triage, investigate and diagnose, resolve, and learn and prevent.
• Experience designing event correlation logic, anomaly detection, enrichment and topology-aware integrations, remediation orchestration, runbook automation, multi-tenant systems, or reusable and configuration-driven product models.
• Experience with GenAI or agentic-AI products, retrieval-augmented generation, evaluation metrics, MCP, or human-in-the-loop automation.
• Familiarity with ITIL 4 event, incident, problem, and change management and the detect-to-correct value stream.
• SAFe PO/PM, PSPO, SRE, cloud, or relevant engineering certification.

We offer

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.
• Wide range of self-development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions - in line with your results and performance.
• Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.