Tutor
/Trusted operator
Product Manager
Own the product strategy, learning architecture, curriculum systems, learner experience, and execution of Tutor.org.in across its education products.
Compensation
₹12,00,000 – ₹24,00,000 per annum
Engagement
Full-Time
Permanent role. Full-time commitment. This is an on-site role at Kolkata. It is not remote and not hybrid.
Scope of role
Drive specific initiatives with minimal supervision. Deepen craft. Begin mentoring others.
01 — The role
Why this role exists at EduRankAI
Own product strategy, roadmap and execution from concept to launch Design end-to-end learner journeys across foundational, advanced and interdisciplinary programs Translate complex academic and professional domains into structured learning experiences Work with educators and domain experts to develop curricula, projects and assessments Define requirements for LMS, course delivery, assessments and learner analytics Design learner assessment, progression and recommendation systems Use learner data and feedback to continuously improve the product Work closely with engineering, design, educators and domain specialists Build scalable frameworks for launching new courses and learning domains Lead product experimentation, validation, launches and continuous iteration Define and track product metrics related to engagement, progression and learning outcomes Build a product capable of supporting learners from foundational education to advanced specialization
02 — The work
What you will own
- 01 Own product strategy, roadmap and execution from concept to launch
- 02 Design end-to-end learner journeys across foundational, advanced and interdisciplinary programs
- 03 Translate complex academic and professional domains into structured learning experiences
- 04 Work with educators and domain experts to develop curricula, projects and assessments
- 05 Define requirements for LMS, course delivery, assessments and learner analytics
- 06 Design learner assessment, progression and recommendation systems
- 07 Use learner data and feedback to continuously improve the product
- 08 Work closely with engineering, design, educators and domain specialists
- 09 Build scalable frameworks for launching new courses and learning domains
- 10 Lead product experimentation, validation, launches and continuous iteration
- 11 Define and track product metrics related to engagement, progression and learning outcomes
- 12 Build a product capable of supporting learners from foundational education to advanced specialization
03 — The expertise
What we look for
Learning Outcomes
What you will practically learn
Qualification (UG / PG)
- ·Any Bachelor's Degree
- ·Any Master's Degree
- ·B.Tech / B.E.
- ·M.Tech / M.E.
- ·B.Sc.
- ·M.Sc.
- ·MBA
Specialisation
Perks
What you get, beyond the work itself
- High-Ownership Product Role
- Build Products from the Ground Up
- Cross-Functional Leadership
- Exposure to Advanced Technology and Education
- Work with Domain Experts and Educators
- Professional Development
- Mentorship and Leadership Exposure
Terms of Engagement
How working time works at this level
A scheduled week: five days, eight hours a day, with two full rest days and latitude over when within the day you work.
Type
Mid-level
Working days
5 per week
Rest days
2 per week
Scheduled week
40 hrs
Per day
8h
Measured by
Objectives agreed at the start of each cycle. Hours recorded for compliance are never used as a performance score.
Where this stands legally
Within the 9-hour day and 48-hour week ceiling of the applicable state Shops and Establishments Act, with at least 24 consecutive hours of weekly rest and a break of at least 30 minutes after five hours of continuous work. Hours are recorded for statutory compliance only. Work beyond the scheduled week is agreed in advance and compensated with time off in lieu.
The full per-level model is published at Working Hours by Level.
- · High-ownership role with responsibility across product strategy, discovery, architecture and execution.
- · Close collaboration with engineering, design, educators and domain specialists.
- · Product decisions are expected to be driven by learner needs, evidence, experimentation and measurable outcomes.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
Mid Full-Time