Senior Technical Product Architect - Monitoring Tools
- Role: Senior Technical Product Architect (10-15 Years)
- Experience: 10-15 years
- Location: Remote
Job Summary
We are seeking a Senior Technical Product Architect to shape the product roadmap and evolution of an innovative observability product. This role involves developing enhanced dashboards, UI methodologies, and predictive analytics. The ideal candidate will have expertise in IT monitoring technologies and an interest in AI-driven analysis to deliver client outcomes. A deep understanding of observability tools, hands-on experience with their operation, and a track record of delivering results are essential. The 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 platforms such as Dynatrace, Data Dog, and other virtualization and cloud environments.
- Dashboard & UI Innovation: Design interactive dashboards, reporting features, and visualization tools for performance monitoring.
- Data-Driven Insights: Use analytics, data science, and predictive modeling to enhance monitoring capabilities.
- Competitive Market Analysis: Evaluate industry trends, product gaps, and advancements to ensure top-tier solutions.
- Cross-Team Collaboration: Work with engineering, AI specialists, and design teams to align customer needs with product development.
Required Skills & Qualifications
- Technical Expertise: Strong knowledge of cloud-based monitoring, virtualization, microservices, and IT observability.
- Monitoring & Analytics: Hands-on experience with tools like eG Enterprise, Dynatrace, Splunk, or New Relic.
- UI & Visualization: Proficiency in dashboards, heatmaps, and visualization frameworks.
- Customer-Facing Experience: Ability to present compellingly to stakeholders.
- Product Leadership: Experience in defining metrics, methodologies, and dashboard optimization.
- Communication & Collaboration: Strong verbal and written skills for engaging with customers and teams.
- Education: Bachelor's or master's 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 dashboards and reports.
- Familiarity with hybrid cloud and multi-platform observability solutions.
This job posting is active and available.