L

Product Engineer

salary Salary :

₹500 monthly

icon building Company : Leap
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

Click to reveal the number of candidates who applied for this job.
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Job Description - Product Engineer





About us




We are building this and
this and
this

In short, we are building the platform to drive global careers for millennials from emerging economies
We work at the exciting intersection of the 2 hottest trends around - edtech & fintech!
And we love that we succeed as a business while powering the dreams of talented students!







Founder Profile




Arnav Kumar
is a graduate of IIT Kharagpur. Leap is his second company and he
has raised more than $30M in capital for his startups. In his last
role, he was a VC investor with SAIF Partners (Now Elevation
Capital), which is an early investor in paytm, meesho, urban
company, unacademy and many other unicorns. He thinks and tweets
about Product, Business Models and Company Building,
here




Vaibhav Singh
is a graduate of IIT Kharagpur. He spent his first 6 years at
DeutscheBank, across Singapore & Sydney to manage a $3Bn flow
book. He has built 2 fintech startups before, as a founding member
of CapitalFloat and Incred, both pioneering businesses valued
>$500Mn The Leap team has a fine balance of industry experience
(edtech, fintech, study abroad) and technical skills (engineering,
product, design)






















This is not a traditional engineering role.


The expectation is not just writing good code.

The expectation is building products people actually use.


The ideal person for this role has experienced product-market fit firsthand.

Not through courses, frameworks, or podcasts.

Through shipping, scaling, failing, iterating, and understanding user behavior deeply.


Strong full-stack fundamentals are important.

But engineering skill alone is not enough.


This role requires product instinct:


  • Understanding why users behave the way they do

  • Knowing what to build vs what not to build

  • Making fast product decisions with incomplete information

  • Caring deeply about user experience and interaction quality


At Leap, the products being built are AI-native from day one.


Not traditional products with AI layered on top.

Products are designed around the latest model capabilities across reasoning, voice, search, workflows, video, and personalization.


The ideal candidate is already deeply immersed in this space.

Someone who:

  • Constantly experiments with new models and tools

  • Has strong opinions on model strengths and limitations

  • Uses AI heavily while building

  • Naturally optimizes for speed and execution quality

  • Thinks in terms of products, not just features

  • Who started building early and has been tinkering with products for years. 

This role involves working directly with the founders in a high-ownership environment where:

  • Thinking is challenged directly

  • Speed matters

  • Clarity matters

  • High agency is expected by default


Signals of a strong fit:

  • Graduated in 2023 or later

  • Has built and shipped products with real users

  • Strong full-stack engineering capability

  • Comfortable operating in ambiguity

  • Learns and iterates quickly

  • High ownership and execution intensity


Applications should include something real:

  • A product

  • A side project

  • A prototype

  • A shipped experience

  • Anything that demonstrates ownership and product thinking


If there is no live link, applications should include:


1. What was built and why?

2. Why were those features chosen?

3. Why is the product better than alternatives?

4. What is the most delightful part of the experience?

5. What is the go-to-market strategy?





Life @ Leap




Mutual Respect


We love people who are ‘relentlessly resourceful’. Find your way
out. Focus on the possibilities instead of the problems.




Bias for action


We take calculated risks backed by data and information available
and encourage fail fast to find the best solutions as soon as
possible






Learn & get better


Continuous learning and improvement is the key. We don’t stop
learning. We treat feedback as a gift and as an opportunity to get
better.




Growth mindset


We operate with a growth mindset and not a mindset of fear or
judgement. You are in control of your own ability to learn and
improve. We love Resilience.







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