Role : Senior Technical Product Architect (10 15 Years) Experience : 10-15 years Location : Remote Job Summary We are looking for a Senior Technical Product Architect who has an interest in shaping the product roadmap and evolution of an innovative observability product through enhanced dashboards, UI methodologies, and predictive analytics. The ideal candidate will have expertise in IT monitoring technologies and interest in using AI-driven analysis to deliver outcomes for clients. This role requires a deep understanding of observability tools, hands-on experience with operation using these tools and delivering results to clients. The ideal candidate will drive product strategy and innovation in new areas. Key Responsibilities Product Strategy & AI Integration : Define the roadmap for AI-powered monitoring and observability enhancements. Monitoring Tool Expertise : Be an expert on observability platforms such as Dynatrace, Data Dog, other virtualization and cloud environments. Dashboard & UI Innovation : Conceive and design new interactive dashboards, reporting features, and visualization tools for performance monitoring. Data-Driven Insights : Apply analytics, data science, and predictive modelling techniques to enhance monitoring capabilities. Competitive Market Analysis : Evaluate industry trends, product gaps, and advancements to ensure best-in-class solutions. Cross-Team Collaboration : Partner with engineering, AI specialists, and design teams to align customer needs with product improvements. Required Skills & Qualifications Technical Expertise : Strong knowledge of cloud-based monitoring, virtualization, microservices, and IT observability is a must. Monitoring & Analytics : Hands-on experience with IT performance monitoring tools like eG Enterprise, Dynatrace, Splunk, or New Relic is a must. UI & Visualization : Proficiency in interactive dashboards, heatmaps, and visualization frameworks is preferred. Customer-Facing Experience : Ability to make compelling presentations to different internal and external stakeholders as required. Product Leadership : Experience defining monitoring metrics, methodologies, and dashboard optimizations is a plus. Communication & Collaboration : Must have strong verbal and written skills to engage with customers and internal teams. Education : Bachelors or masters degree in computer science, AI, Data Science, HCI, or related fields. Preferred Qualifications Exposure to AI-powered automation and predictive anomaly detection. Experience designing intuitive monitoring dashboards and report structures. Familiarity with hybrid cloud and multi-platform observability solutions. (ref:hirist.tech) Show more Show less