Product Intern

LearnTube.ai (backed by Google); Mumbai; On-site; INR 250,000 - 350,000; Full time

Benefits offered by this job

Work from home flexibility

Job summary

LearnTube.ai is seeking a Product Intern in Mumbai for a 4–6 month internship with a clear path to full-time PPO for strong performers. You will work from day one on the product loop, helping to stand up the voice-AI layer that scales the loop and interfaces with users and data.

Responsibilities include interviewing users, shipping features from design to production, and owning a growth metric. Prior internship or project experience is welcome.

Qualifications

• Genuinely curious about how products get built, backed by something you've shipped or built before.
• Sharp, structured thinking that breaks ambiguous problems into a plan.
• Exceptional problem-solving skills and strong quantitative ability.
• Comfortable with data and pulling your own numbers.

Responsibilities

• Talk to users, run interviews, and translate feedback into actionable problems.
• Ship features from design to prod in LearnTube's weekly ship-room rhythm.
• Own a metric, instrument it, and report movement of the number.
• Design and analyze A/B tests and feature rollouts to distinguish signal from noise.
• Test a voice-AI interviewer on live calls and evaluate with rubrics.
• Build the context layer for the interviewer agent with feeds and grounding.
• Turn research into agent skills: prompts, tools, and guardrails.
• Learn fast on evolving AI/ML trends.

Skills

Data Analysis

Product Management

User Research

Project Management

Problem Solving

Generative AI

Research

Tools

Figma

Notion

Mixpanel/Amplitude

SQL

Job description

Product Intern

₹2.5L – ₹3.5L • No equity

Remote (India) • Mumbai

No experience required

Internship

About the job

Product moves fast at LearnTube. As a Product Intern, you'll sit in that loop from day one, working the full arc from to did the fix actually move the number. You'll also help stand up the voice-AI layer that scales that loop: interviews that turn into agent skills, and product context the bot can actually use.

What You'll Do

• Talk to users, constantly - Run and synthesize user interviews, support tickets, and app-store reviews into problems worth solving, not just a list of complaints.
• Ship, don't just plan - Work alongside design and engineering to take a feature from Figma to prod in LearnTube's weekly ship-room rhythm.
• Own a metric - Pick up a slice of the funnel or engagement loop, instrument it, and report on what's actually moving the number.
• Run experiments - Design and analyze A/B tests and feature rollouts, know the difference between a result and noise.
• Test a voice-AI interviewer - Sit on live calls (turn-taking, Hinglish, barge-in), write the eval rubric, score calls against it, run model/vendor bake-offs, and help ship or kill the concept on evidence, not demo vibes.
• Build the context layer - Own the product brief the interviewer agent may use, and test how to feed it in (pinned markdown, RAG, per-study pack) so answers stay grounded in it.
• Turn research into agent skills - Convert guides, probes, and guardrails into skills the interviewer agent can load: prompts, tools, and when to shut up.
• Learn fast - Stay sharp on evolving AI/ML trends and applied ML and LLM techniques.

You'd be a good fit if you are someone:

• Genuinely curious about how products get built, backed by something you've shipped or built before, even scrappy: a side project, a campus initiative, a freelance gig.
• Have sharp, structured thinking - you can break an ambiguous problem into a plan without being told how.
• Possess exceptional problem-solving skills, first-principles thinking, and strong quantitative/analytical ability.
• Comfortable with data: basic skills to pull your own numbers rather than wait for someone to hand them to you.
• Have builder's bias: you'd rather ship an imperfect v1 and learn from it than perfect a plan no one's tested.
• Demonstrate strong business acumen: understanding the why behind features and how technology solves end-user pain points.
• Show excellent written and verbal communication skills, with the ability to articulate complex technical ideas clearly to technical and non-technical audiences alike.

Nice-to-Haves

• Prior internship or project experience in product, growth, or a startup environment.
• Exposure to Figma, Notion, Mixpanel/Amplitude, or SQL.
• Interest in AI/ML products specifically, you don't need to build models, but you should be curious how they behave.
• Played with voice agents, RAG, or agentic workflows. A messy personal repo or a hands-on weekend build is enough.

Location: In-office, Mumbai

Duration: 4–6 months, with a clear path to full-time (PPO) for strong performers

Perks

• Work from home flexibility

Hiring contact Kanchan Varlani

Mumbai

Job Location Mumbai

Remote Work Policy In office

Visa Sponsorship Not Available

Relocation Allowed

Skills Data Analysis, Product Management, User Research, Project Management, Research, Problem Solving, Generative AI