Product Manager

Product Manager Teach OS

NxtWave • NIAT Division • Hyderabad (HITEC City)

This is a single, senior, full-ownership seat. You will own Teach OS end to end strategy through delivery and run it independently. This is not an execution-under-direction role.

Why this role exists

NxtWave is an AI-first edtech company (World Economic Forum Technology Pioneer 2024) building industry-ready tech talent at scale. Teach OS is the AI operating system behind NIAT's classrooms: it records and analyzes teaching sessions, generates AI quality reports and coaching actions, and gives 350+ instructors across 35+ campuses a live view of where they stand and what to fix next. The AI is the product the model's judgment on teaching quality is what instructors act on every week.

Your mandate is to make teaching quality a property of the system, not of the individual instructor. A student deserves the best version of a concept regardless of which campus they're on, which instructor they get, or how many times that instructor has already taught it.

The platform is already embedded everywhere. The unsolved problem the reason this seat exists — is behavior change: turning a tool people are required to have into one they use because it measurably makes them better, and proving that lift in the data. If that problem excites you, this is your seat.

What you'll do

Strategy & Discovery

Own the Teach OS strategy, narrative, and roadmap end to end — you set direction and sequence it, you don't wait to be handed it.

Drive discovery with the instructor team: interviews, JTBDs, journey maps.

Size opportunities with data — and diagnose to root cause before you prescribe.

AI-first Product Delivery

Own an AI-native product where model judgment (QA scoring, coaching, demo analysis) is the core experience. You design the experience, the guardrails, and the evaluation of model quality — not just the UI around it.

Ship features that leverage LLMs/agents, retrieval, and automation.

Partner with Engineering, Design, and Data in short cycles with strong rollout hygiene.

The Measurement Model

Own what Teach OS measures. What the product flags is what 350+ instructors optimize for — so designing that system, and deciding what deliberately doesn't count, is one of the highest-leverage decisions you'll make here.

Metrics, Insights & Behavior Change

Define success metrics with binary, dated targets and explicit kill criteria; instrument events; run experiments.

Analyze cohorts, funnels, and adoption; convert insight into iteration plans.

Own post-ship validation against metrics you defined before launch.

Stakeholder & Outcome Alignment

Work tightly with business owners (P&L) and the instructor team; drive cross-functional alignment without routing everything upward.

Write to think — clear decision docs precede meetings.

Quality, Risk & Ethics

Own pre-launch checklists, QA gates, and safe rollouts (guardrails, fallback paths), then drive post-launch adoption to hit targets.

Ensure learner and instructor data safety and fair, transparent use of AI in evaluation. You are scoring people's teaching — the bar for fairness is high.

What success looks like (first 90–180 days)

Ship milestones that move a core outcome — instructor improvement, or adoption of a high-impact behavior — not just features.

Establish or sharpen the measurement model and a healthy measure learn iterate cadence.

Earn the trust of Engineering, Design, and business owners through clear plans and reliable, independent delivery.

Qualifications

Must-haves

• 4+ years in product management with proven independent, end-to-end ownership (01 and/or 1n).
• Strong causal reasoning — assembles root cause from data.
• Diagnostic rigor — asks for scale, denominators, and base rates before solutioning.
• Metric & commitment discipline — sets binary, dated targets with kill criteria; designs the experiment.
• AI product judgment — designs AI-native experiences and reasons about AI-driven products; AI-stack exposure as evidence of judgment, not a tool checklist.
• Fluency with product analytics (SQL/Sheets + Amplitude/Mixpanel or similar) and experimentation.
• Strong written communication and narrative storytelling.
• Moves fast under ambiguity with clear prioritization and trade-off calls.

Nice-to-haves

• EdTech, learning science, or performance / behavior-change products.
• Firsthand experience of how “what you measure becomes what people optimize for.”
• Multi-team coordination, or prior ownership of revenue/cost levers.

The bar we're actually screening for

Above the checklist, one quality decides this hire: can you take a messy, real problem, diagnose it to root cause from the data, and commit to a falsifiable bet — with a date and a kill switch — independently? Everything else is table stakes.

Location & work week

• Location: Hyderabad (HITEC City)
• Work week: Monday–Friday (5-day week)

Compensation structure

Fixed salary + annual variable component + multi-year retention component. Final mix aligned to experience.

Our culture & principles

We're an AI-first, learner-obsessed product org. You'll thrive here if you:

• Diagnose before you build — root cause beats a fast guess.
• Data > opinions — decide from dashboards, experiments, and cohorts.
• Write to think — clear narratives beat loud opinions; docs precede meetings.
• Own outcomes — discovery delivery rollout learn.
• One team with business owners — deep partnership with P&L owners for impact.
• Ship safely — quality gates, observability, and rollback plans are non-negotiable.
• Live our motto: Work hard. Have fun. Make history.

Hiring process

• Intro call (15m) — motivation and past wins.
• R1: Product deep-dive — you'll work a real Teach OS problem with real data. We care how you diagnose and commit far more than how polished the pitch is.
• R2: AI system & product design — live problem-solving, including sketching an agentic / AI-native approach for a real NxtWave scenario.
• R3: Head of Product — portfolio deep-dive, scope confirmation, and fit.
• R4: People Ops — compensation and logistics.