Product Manager - NxtWave Academy

NxtWave | Hyderabad | Mon-Fri | Full-Time

About the Role

The Product Manager - NxtWave Academy owns the learning product: the experience that takes a student from enrolment through active learning to course completion. This is the product-side owner of the Academy's retention and engagement north star - the person who moves activation, weekly-active-learning, progression and in-journey drop-off through the product itself (features, nudges, personalization, AI-first learning tools). It is a hands-on, experimentation-first, AI-first role: you frame problems, separate assumption from evidence, and ship and read experiments rather than execute a pre-decided feature list.

What You'll Own

Learning Product & Funnel Ownership

- Own and improve the in-product learner journey: activation -> active learning -> progression -> completion.
- Define and track the Academy learning-product metric tree (activation, WAL, progression velocity, feature adoption, in-journey drop-off).
- Diagnose drop-off with data before proposing a fix; instrument events and build the dashboards you rely on.

AI-First Product Delivery

- Ship features leveraging LLMs, agents, retrieval and automation (adaptive practice, doubt-solving, recommendations); write clear PRDs/DRDs.
- Partner with Engineering, Design and Data for fast, high-quality delivery; maintain backlog clarity across initiatives.

Experimentation & Prioritization

- Run structured, hypothesis-driven experiments across the learning journey; read them honestly and kill bad bets.
- Separate validated evidence from stakeholder assumption before committing engineering effort.
- Prioritize a constrained roadmap and defend trade-offs.

Cross-Functional Alignment

- Align Engineering, Design, Data, Curriculum and the Retention Head on a single prioritized roadmap.
- Present recommendations - including 'no build' recommendations - to leadership with evidence.
- Ensure learner privacy,



data safety and ethical AI usage; own pre-launch QA and safe rollout.

What Success Looks Like

- Improve new-learner activation rate (student reaches the first meaningful learning milestone) by an agreed % QoQ, owned end-to-end (hypothesis -> build -> measure -> iterate).
- Reduce in-product drop-off at the weakest identified journey stage by an agreed % within 2 quarters of it being flagged.
- Improve weekly-active-learner (WAL) rate and average course-progression velocity through product interventions (in-app nudges, streaks, resume-flows, personalization).
- Ship statistically-sound product experiments every quarter across the learning journey, each with a documented hypothesis, result, and ship/kill/iterate decision.
- Define, instrument, and own the Academy learning-product metric tree; every shipped initiative has a pre-defined success metric before engineering effort is committed.
- Ship AI-first learning features (adaptive practice, doubt-solving, recommendations) that show measurable lift in progression or engagement for the targeted cohort.

Must-Have

- Has owned a product surface end-to-end and can name an activation / engagement / retention / progression metric they personally moved, with a number.
- Can walk through a real experiment: hypothesis, design, result, and the ship/kill/iterate decision it drove.
- Comfortable doing their own funnel/cohort analysis (SQL or a product-analytics tool like Amplitude/Mixpanel).
- Comfortable with ambiguity and multi-stakeholder pushback; can prioritize a constrained roadmap and defend the cuts.

Good-to-Have

- EdTech / learning-science / gamification / subscription-growth experience - faster ramp on learner-journey mechanics.
- Has built or briefed personalization / recommendation / adaptive-learning systems.
- 0->1 product experience in an unstructured, low-process workplace.

Location & Work Week

- Hyderabad
- MondayFriday (5 days)

Compensation

Fixed + annual variable + retention component. Final structure by level and experience.

📌 Product Manager (Hyderabad)
🏢 Nxtwave Disruptive Technologies
📍 Hyderabad