Why Two IIT Engineers Turned Down $550K Jobs To Build A Startup

Why It Matters

It shows that foregoing lucrative offers for equity‑driven AI ventures can yield rapid enterprise traction, signaling a shift in career calculus for top technical talent.

Key Takeaways

• Two IIT engineers rejected $550K jobs to launch GigaML.
• YC mentor urged them to abandon edtech and pursue AI agents.
• They pivoted from fine‑tuning models to customer‑support AI.
• Secured DoorDash and major crypto exchange as early enterprise clients.
• Prioritize equity and impact over high‑salary offers, they advise.

Summary

The video recounts how two IIT‑trained engineers turned down a combined $550,000 salary package to found GigaML, a startup building AI‑driven customer‑support agents.

After a surprising Y Combinator interview where partner HJ dismissed their ed‑tech idea, the founders pivoted to fine‑tuning large language models for enterprise support. Leveraging research from Stanford and a $4 million seed round, they built a platform that boosts call deflection from the industry‑average 10‑15 % to 60‑70 %, aiming for 90‑95 %.

Their first marquee client, Zepto, led to a DoorDash contract won by an eight‑person team, proving that performance can outweigh size. The founders cite a 50 k earnings from Kaggle competitions and a rejected $550 k quant job as proof of their engineering credibility.

The story underscores how early‑stage risk‑taking, YC mentorship, and a clear AI value proposition can enable tiny teams to secure Fortune‑500 deals, reshaping talent decisions for ambitious engineers.

Original Description

Varun Vummadi is the co-founder of Giga, which builds AI agents for customer support for some of the biggest companies in the world, including DoorDash, one of the largest crypto exchanges in the US, and a top-three global telecom provider.

At Startup School India, Varun sat down YC General Partner Ankit Gupta to talk about why he turned down a high-paying quant job to start a company, the multiple pivots it took to find the right problem, and how their small team of eight beat a 400-person competitor to land a contract with DoorDash.

Apply to Y Combinator: https://www.ycombinator.com/apply

Work at a startup: https://www.ycombinator.com/jobs

Chapters:

00:00 — Intro

01:33 — Early Days & Origin Story

03:37 — The YC Interview Disaster

06:28 — Pivoting Away From Ed Tech

07:25 — Finding the Real Idea

08:39 — Beating a Well-Funded Competitor

10:00 — Winning DoorDash at 8 People

11:09 — What GigaML Looks Like Now

12:40 — Advice for College Students

15:51 — Why Charge Early?

17:33 — The Next Big Bet

18:43 — Running the Company on AI

20:19 — How They Hire Engineers

22:04 — Product Over Sales

23:37 — Burn the Boats + Outro