לוח אפשרויות קריירה - הדרך החכמה להייטק

As a Product Manager for Intelligent Observability, youll lead the strategy to make our high-performance data platform highly reliable and easy to troubleshootbalancing rich observability with signal clarity. Your mission is to harness our telemetry to detect issues early, automate diagnostics, and build customer-facing tools like Home. By deeply engaging with support operations and Root Cause Analyses, youll turn insights into product enhancements, embedded guardrails, and best practices that reduce escalations, speed up resolutions, and improve customer satisfaction through a more resilient, self-healing platform.

Key Responsibilities:

Vision & Strategy:

Define and lead the product vision, strategy, and roadmap for advanced supportability and observability. Focus on proactive support, in-product best practices, and operational intelligence across hybrid deployments
Requirements & Prioritization:

Partner with Customer Success and Support to understand workflows and root causes of key issues, converting insights into proactive product requirements.
Collaborate across customers, field engineers, and SREs to identify needs around failure prediction, automated RCA, and early anomaly detection.
Conduct research on AIOps and competitor strategies for proactive support.
Roadmap & Execution:

Maintain a backlog focused on proactive issue detection, faster diagnostics, and support case reduction.
Drive implementation of guardrails and in-product best practices based on RCA findings.
Specify features that analyze high-volume telemetry for self-service insights and problem precursors.
Work with engineering to build analytics, ML, or AIOps features that reduce preventable issues.
Track KPIs measuring proactive support impact.
Cross-Functional Collaboration:

Partner with Engineering on scalable, real-time systems for proactive alerting.
Align with Customer Success and Support to embed tools and insights into their workflows.
Collaborate with design partners to build world leading AIOps and predictive analytics platforms.
Support Product Marketing and Documentation with content on proactive support features and best practices.
Go-to-Market & Enablement:

Lead go-to-market plans focused on proactive support benefits.
Develop training for internal teams and customers on using insights, guardrails, and best practices.