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Aera Technology

AI-based decision automation for enterprises

Support Operations Specialist

Customer SupportUpdated on Nov 14
Full-timePune, Maharashtra, IndiaRemote

About the Job

Responsibilities

  • Own and resolve moderate-to-complex customer issues, including performance problems, data corruption, and advanced API or integration failures.
  • Provide informal guidance, ticket reviews, and shadow sessions for junior staff to help build their technical skills.
  • Identify and help implement support process improvements, such as new macros, streamlined escalation paths, and new reporting.
  • Collaborate directly with Engineering, Product, and Customer Success teams on bug prioritization and customer communication strategies for escalated issues.
  • Lead technical troubleshooting on high-priority incident calls with customers.
  • Act as the first point of technical escalation for Intern and Associate engineers, resolving complex issues without needing to engage Engineering.

Desired Qualifications

  • 2–4+ years of experience in technical support, with a proven track record of handling complex issues.
  • Experience with Jira workflow and lifecycle management.
  • Advanced expertise in the product's technical stack, such as advanced SQL optimization, light scripting, deep API debugging, and Confluence.
  • Proven experience handling customer escalations and de-escalating tense situations.
  • Experience mentoring or informally training junior team members.
  • Strong project management skills and the ability to lead initiatives.

About the Company

Aera Technology

AI-based decision automation for enterprises

Aera Technology provides AI-powered decision automation for large enterprises, especially with complex supply chains. Its system continuously analyzes and indexes data from enterprise systems to give real-time visibility, predict risks and opportunities, and recommend the best actions. It can autonomously execute decisions and learns from each outcome to improve future recommendations. This differentiates it by focusing on end-to-end decision automation that combines real-time insights with autonomous action rather than just analytics. The company targets large corporations and operates on a subscription or licensing business model, aiming to help customers reduce operating costs, increase efficiency, and boost revenue.

Company size
201-500
Company stage
Series C
Total funding
$173.7M
Headquarters
Mountain View, CA
Founded
2017

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