Product Operations Analyst — Remote, Data‑Driven SaaS

Teikametrics; Hinoba-an; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote Work Flexibility

Broadband reimbursement

Group Medical Insurance – INR 7,50,000

Crèche benefit

Job summary

Teikametrics in India is seeking a Product Operations Analyst to join at the intersection of Product, Engineering, and customers. You will help ensure the Teikametrics platform runs smoothly, investigate issues, surface insights from operational data, and identify opportunities to improve the product experience.

This highly collaborative role suits someone who enjoys digging into problems, working with data, and connecting customer needs with what our product teams build.

Qualifications

• 2–3 years of professional experience in a technical SaaS environment.
• Hands-on experience providing technical support and troubleshooting SaaS applications.
• Experience supporting e-commerce platforms such as Amazon, Walmart, or TikTok Shop is a plus.

Responsibilities

• Monitor Escalation queues and maintain data integrity of the Teikametrics application.
• Own and investigate platform issues through technical troubleshooting until resolution.
• Partner with Product, Design, and Engineering to communicate issues and updates.
• Identify patterns and opportunities to improve product functionality and customer experience.
• Develop a deep understanding of the in-app customer experience and bring customer voice to product teams.

Skills

SaaS customer support

SQL

Troubleshooting

Independent work

Communication

Tools

JIRA

Confluence

Ticketing systems

Job description

Teikametrics in India is seeking a Product Operations Analyst to join at the intersection of Product, Engineering, and customers. You will help ensure the Teikametrics platform runs smoothly, investigate issues, surface insights from operational data, and identify opportunities to improve the product experience.

This highly collaborative role suits someone who enjoys digging into problems, working with data, and connecting customer needs with what our product teams build.