Product Engineer
Leap Finance
Product
United States · Bengaluru, Karnataka, India
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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