Experience: 3.00 + years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full time Permanent Position
Note: This is a requirement for one of Uplers' client - Ednxt.ai
What do you need for this opportunity?
Must have skills required: LLM, AI Agents, AI-native features, Claude code, Cursor
Ednxt.ai is Looking for:
SEITO (by EdNXT AI) is building an AI-native operating system for education — covering the enrollment suite, learning suite, and support suite for universities and institutions. We are at a zero-to-one stage, shipping live products used by real universities, and we are looking for a Product Manager who will own one of our products end-to-end.
What You Will Do
- Own the full product lifecycle for one product within SEITO's education OS — from roadmap and prioritisation to shipping and measuring outcomes
- Prototype solutions using AI tools (Claude Code, Cursor, or equivalent) to rapidly validate ideas before engineering cycles begin
- Define and drive growth loops, conversion metrics, and enrollment outcomes for your product area
- Identify and automate operational workflows using AI agents, scripts, or no-code tooling
- Collaborate with internal engineers and external consultants to ship weekly; be accountable for outcomes, not just output
- Work directly with university partners to understand problems and close the feedback loop fast
Must-Have Requirements
- 3–7 years of relevant PM experience at a product or services company — what matters is the quality and ownership of the work, not the company type
- Demonstrable AI product experience: shipped at least one LLM, agent, or AI-native feature in a production environment
- Measurable, outcome-based impact — on your resume or validated through screening; tasks without results are not enough
- Zero-to-one product building background or one-to-ten product scaling experience
- Product ownership mindset — you are accountable for the product's success, not just your workstream
- Has prototyped or experimented with AI tools to solve a real problem; curiosity and hands-on AI experimentation are non-negotiable
Good to Have
- Background in EdTech, HRTech, FinTech, or B2B SaaS
- Experience with EMI, instalment, or affordability payment flows
- Hands-on experience with LLM evals, RAG systems, or prompt engineering
- GitHub profile or live portfolio demonstrating real projects
- Platform product experience (multi-tenant SaaS or platform-level thinking)
- Founding engineer or very early-stage startup background (pre-PMF)
- Currently based in Bangalore