A SaaS? tool that helps technical support teams diagnose customer issues, coordinate escalations, and route bugs or product feedback to the right internal teams.
Added Jun 12, 2026
Last signal 2d ago
Companies repeatedly need support, success, and engineering-facing roles to resolve technical customer issues quickly and communicate effectively through escalations. Teams struggle to diagnose complex inquiries, find mitigations, track ownership to closure, and turn recurring issues into bugs or product feedback.
The product ingests support tickets, chat/email threads, incident notes, and product telemetry to suggest root causes, mitigation steps, escalation owners, and customer-ready status updates. It also creates structured bug reports and feedback summaries for engineering while tracking each issue from creation to resolution.
Technical products are becoming more complex, and job postings show companies hiring across support, customer success, and engineering to handle escalation-heavy workflows. AI-assisted triage can reduce manual coordination while preserving human ownership of customer communication.
70
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Translate customer and support signals into actionable product feedback, high-quality bugs, design change requests, supportability asks, automation Create and maintain scalable support assets, including diagnostic playbooks, troubleshooting guides, knowledge base articles, escalation templates, and readiness content that enable teams to resolve issues consistently.
Work directly with customers in Pylon, Slack, and Teams to triage and resolve technical issues and bugs across the control plane, MCP connectors, OAuth, and deployments. Use AI and MCP tooling to triage faster: diagnostic agents, log query templates, and reproduction workflows.
Champion supportability and debuggability initiatives within Product Engineering, ensuring new features are built with observability and diagnosability in mind. Identify and drive AI-powered process improvements across the escalation lifecycle — from triage and classification to documentation generation and knowledge base maintenance.
Triage and escalate issues to Customer Success or Engineering with enough context that handoff is seamless Contribute to the internal knowledge base and growing Support function by documenting resolutions, product behavior, and edge cases as you encounter them
Drive agentic bug prioritization at scale — working with tooling to move from manual triage to automated pipelines, and applying business context where humans need to stay in the loop. Serve as the senior escalation point between frontline support and engineering, owning the most critical customer issues in your domain at any given time.
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