Quick overview
Job description
The Role
We’re hiring for Product Operations Associate to work closely with the Product team on Apna Advantage.
This is a hands-on role for someone early in their career who enjoys solving messy problems, digging into data, working closely with users and operations teams, and turning insights into better products and processes.
Title: Product Operations Associate
Experience: 0–2 years
Location: Domlur, Bengaluru — Work from Office, 5 days/week
About Apna Advantage
Apna Advantage helps users make better career decisions and access higher-education and upskilling opportunities.
We’re building the journey across discovery, counselling, admissions and post-enrolment support using a combination of product, operations and AI.
What You’ll Do
- Improve the end-to-end user journey across discovery, counselling, application and admissions
- Work closely with counsellors and users to identify product gaps and operational bottlenecks
- Analyse funnels, call outcomes, CRM data and user behaviour to find drop-offs and opportunities
- Translate operational problems into clear product requirements
- Improve workflows across CRM, calling, WhatsApp, lead routing and internal tools
- Run experiments and track impact on conversion, productivity and user experience
- Test and improve AI-powered experiences such as voice counsellors and internal automation
- Own dashboards, SOPs and processes needed to make product launches work at scale
- Act as a bridge between Product and Operations and drive issues to closure
What We’re Looking For
- 0–2 years of experience in product operations, business operations, product, analytics, consulting, founder’s office or similar roles
- Strong problem-solving and analytical ability
- Comfortable working with spreadsheets and data
- High ownership and bias for action
- Strong attention to detail
- Comfortable speaking with users and operational teams
- Clear written and verbal communication
- Curious about AI and already using AI tools in your day-to-day work
- Comfortable working in a fast-moving, ambiguous environment
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