Location
Ayodhya, Uttar Pradesh
Work Mode
Hybrid
Duration
2 months
Stipend
₹21,000/mo
Start Date
Immediate / Rolling
Openings
14 positions
Type
Full-time
Category
Business Analysis
About the Internship
Join Stripe India in Ayodhya as a Product Operations Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on product management work.
About the role
As a Product Operations Intern at Stripe India, your core…
About Stripe India
Stripe India offers a mentor-led Product Operations Intern in Ayodhya with live project work in business analysis, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Stripe Indiainternships →Ayodhya, Uttar PradeshVerified employer14 openings
Apply to Stripe India →Skills Required
Product ManagementUser ResearchRequirements WritingRoadmappingProduct AnalyticsSQLWireframingPrioritisation FrameworksJiraStakeholder Communication
Who Can Apply
- Final-year students and recent graduates from BBA/MBA, B.Com, B.E./B.Tech (any branch), BCA or B.A. (Economics) who are based in or willing to work from Ayodhya. You should be keen to learn Product Management, User Research, Requirements Writing on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect access to the team that owns the data you work on
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹21,000/month
Stipend · 2 months
Openings14 positions
Applicants0 applied
ModeHybrid
CategoryBusiness Analysis
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