Mission
Own the functional design and capability roadmap for an enterprise-scale observability platform — the trusted signal foundation that enables AIOps across a large, complex technology estate. The platform creates the telemetry, health models, SLOs, dashboards, and detection signals required by event management, AI-guided diagnosis, and automated remediation, and sits at the start of the detect-to-correct value chain.
You will help advance a modern, vendor-agnostic, composable observability platform built on open industry standards including OpenTelemetry and Prometheus, competing with the best commercial tools in a rapidly evolving market. Working at the intersection of SRE, user experience, architecture, and engineering, you will translate product strategy into coherent capabilities — trusted telemetry, real-time monitoring, dashboards, synthetic monitoring, RUM, alerting, and SLO management — that strengthen proactive detection, signal quality, and continuous reliability across highly complex, interdependent application and platform landscapes.
What You Will Enable
- Earlier, more reliable detection — Give SRE and operations teams continuous visibility into application health, dependencies, and end-user experience, with measurable SLOs and detection signals that identify degradation before users report it.
- A trusted signal foundation for AIOps — Deliver consistent, contextual, and governable telemetry that can be correlated, enriched, and acted on by event management, AI-guided diagnosis, automation, and future agentic capabilities.
- Faster cross-domain diagnosis — Ensure telemetry carries the identifiers and context needed to map signals to separately managed topology and service models, while supporting topology discovery from telemetry such as distributed traces.
- Coherent self-service observability — Provide clear integration patterns, reusable dashboards, monitoring experiences, alerting, synthetic monitoring, RUM, and SLO capabilities that teams can adopt consistently and at scale.
- Continuous reliability improvement — Turn operational evidence into better health models, SLOs, monitoring, dashboards, and alerting so recurring weaknesses are identified and observability improves over time.
Responsibilities
- Own end-to-end functional design — Define how platform capabilities work individually and together across telemetry ingestion, real-time monitoring, dashboards, synthetic monitoring and RUM, alerting, and SLO management; eliminate functional gaps, duplication, and inconsistent experiences.
- Own the capability roadmap — Translate product strategy, SRE needs, and the competitive observability landscape into a clear capability-level roadmap, defining what each capability must deliver to strengthen the detect-to-correct value chain and enable AIOps.
- Lead deep technical discovery — Work directly with SREs, operations teams, platform engineers, application owners, and architects to understand operational pain points, current workflows, telemetry needs, failure modes, and the complex technical setups of observed applications and platforms.
- Define rigorous product requirements — Turn discovery into functional specifications, user journeys, telemetry and 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, telemetry models, integration patterns, configuration models, scalability, security, and extensibility; challenge design choices and make functional trade-offs grounded in technical reality.
- Enable topology integration — Define how telemetry signals are consistently identifiable and mappable to topology and service context managed by the responsible platform, and how telemetry such as traces can support topology discovery and enrichment.
- Create a coherent, state-of-the-art product experience — Ensure consistent concepts, workflows, defaults, and self-service patterns across capabilities and personas, benchmarked against leading observability platforms, OpenTelemetry evolution, SRE practices, and emerging AIOps patterns.
- Assure functional quality and measurable value — Validate that delivered capabilities match design intent, work coherently end to end, and contribute to SLO coverage, system-detected incidents, MTTD, MTTR, automation readiness, adoption, and user satisfaction.
About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.
- 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.
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 Engineer, or Technical Product Owner working closely with complex platform engineering teams.
- Experience shaping enterprise-grade, data-intensive, infrastructure, developer-platform, observability, or monitoring 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, APIs, data models, telemetry pipelines, metrics, logs, traces, events, dashboards, alerting, and SLIs/SLOs; 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 technologies such as OpenTelemetry, Prometheus, Grafana, LogScale, Loki, Tempo, Datadog, Dynatrace, Splunk, New Relic, Azure Monitor, or Google Cloud Observability.
- 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 telemetry schemas, correlation identifiers, topology-aware integrations, distributed tracing, onboarding patterns, API-driven platforms, multi-tenant systems, or reusable and configuration-driven product models.
- Experience with product discovery, journey mapping, service design, usability testing, or self-service design for highly technical products.
- Familiarity with ITIL 4 monitoring and event management, incident management, problem management, and the detect-to-correct value stream.
- SAFe PO/PM, PSPO, SRE, cloud, OpenTelemetry, or relevant engineering certification.
