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- Own all escalations passed from Tier 1 within your assigned team, troubleshooting complex product, integration, and system-level issues.
- Perform advanced diagnostics—including log analysis, API tracing, environment replication, and configuration deep dives—to determine root cause.
- Partner closely with engineering and product through well-structured escalation notes, ensuring precise handovers and efficient bug triage.
- Provide guidance and coaching within the pod, supporting Tier 1 agents with knowledge, context, and coaching that strengthens pod effectiveness.
- Identify recurrent patterns in escalations and collaborate with pod leads to drive improvements in tools, processes, and knowledge assets.
- Maintain accountability for pod-level metrics: speed of resolution, escalation quality, and contribution to overall customer satisfaction.
- Participate in structured workflows for major incidents, providing technical insight and helping restore service quickly.
- Contribute to internal playbooks to improve pod autonomy and reduce dependency on central teams. Additional Job Details: Required Skills & Experience - 2–4+ years of technical support or related experience in SaaS, platform, infrastructure, or high-complexity environments.
- Strong analytical and troubleshooting skills across application, network, and system layers.
- Ability to interpret logs, API responses, error traces, and configuration discrepancies.
- Experience working within structured support models or with cross-functional engineering teams.
- Excellent written and verbal communication skills, capable of translating technical findings into clear and actionable updates.
- High ownership mindset; comfortable managing multiple escalations while maintaining pod performance standards. Nice to Have
- Familiarity with distributed systems, integrations, or workflow automation.
- Experience with SQL, scripting, or basic debugging.
- Exposure to support operations with large user populations and complex platform dependencies.
- Experience contributing to or improving internal knowledge systems. Success Looks Like
- Strong technical leadership inside the pod with measurable improvements in Tier 1 accuracy and autonomy.
- Reduced escalation volume and faster resolution cycles enabled by proactive analysis and process improvements.
- High CSAT on complex cases and consistent delivery against pod KPIs.
- Clear trend insights shared with engineering/product that influence roadmap or quality improvements.
- Pod operates with increasing independence as Tier 2 strengthens internal expertise and documentation.
Details
Category
AI Evaluation
Location
Mexico
Employment Type
Independent Contractor
Posted
14/04/2026
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