Puja Gorai
Product leader. Builder. Curious human.

Hi, I am Puja.

Puja Gorai smiling in a navy blazer

I am a PM with a decade of 0→1 work — as a founder, in startups, and in BigTech, where I launched a net-new AWS service. Right now, I am building an AI companion to a human coaching practice — figuring out how AI does something as personal as coaching, and where the human needs to stay in the loop.

My principle is to be intentional about what matters — and refuse the compromise story. I am energised by doing justice to every role I play — whether that is work or motherhood. I invest in building systems that let me do all of it to my standards — with help from other people, technology, and AI.

The rest of my life runs on the same operating principles — intentional yeses, systems that scale, and all the help I can get. That is how family, a community I show up for, things I keep learning, and my health all fit in one life.

Explore my work
Puja Gorai smiling in a navy blazer
WORK

A decade of 0→1 work across six chapters.

Unknowingly (and knowingly), I chose 0→1 across investment banking, decision sciences, and product management. The chapters span co-founder, founding team, growth-stage startup, and BigTech — across India and the US, mostly enterprise, sometimes consumer.

Explore my work →

AWS — Management Console

Launched AWS User Experience Customization, a net-new service for enterprise Console customisation. Its initial account-colour launch reached 100K+ accounts in 12 weeks. Led the multi-session Console launch, coordinating 250+ teams across AWS, and reduced the opt-out rate from 20% to below 4% through post-launch improvements. Corey Quinn called it 2025’s release of the year in his January newsletter. Built internal AI agents that cut time spent on launch tasks by about 90%.

Explore my AWS work →

Jumbotail

Joined Jumbotail’s early team and saw it scale to a team of 400+. Was the founding member of the decision sciences function — solo for nearly a year, then built it to a 5-person team. Wrote production Python algorithms and built systems for recommendations, demand forecasting, pricing, and supply-chain optimisation. In my final year, moved into product management and owned the vendor experience.

Explore my Jumbotail work →

Intello Labs

Turned Intello Track — deep learning and computer vision for produce quality — from a bespoke-per-customer offering into a shared SaaS product. Led the global launch and enterprise customer engagements, and built an internal annotation tool to accelerate model iteration. The assessment product reached 94% accuracy, with processing time reduced from 30 minutes to about 30 seconds.

Explore my Intello Labs work →

CRED — CRED Mint

Owned the online and offline product experience to build trust in CRED's first investment product — a peer-to-peer lending-backed investment vehicle. Designed the launch strategy before leaving for my MBA.

Explore my CRED work →

Maitri.life

Co-founded a product to help people build daily habits through community and accountability. 500+ sign-ups and 96% retention through a 3-month program. Recruited and led an 8-person team. Discontinued to pursue my MBA.

Explore my Maitri.Life work →

Credit Suisse — Prime Services

Started my career on the client pricing and strategy team. Built a new pricing methodology from scratch — $4M in incremental annual revenue, 15 basis points lift on return on assets. Automated client performance analysis — 400 hours/month saved.

Explore my Credit Suisse work →
PROJECTS

Things I’m making
room to explore.

Personal projects and collaborations. A place to build, test an idea, and learn from what happens.

AI-assisted practice

AI PM Interview Bot

A practice room for product interviews, with adaptive questions and feedback. Built to turn preparation into something I can actually practice.

How can AI help sharpen judgment, beyond rehearsing answers?
Try the interview bot
Human + AI coaching

AI Coach

Building an AI coach alongside a human coaching practice. The interesting question: how AI does something as personal as coaching, and where the human needs to stay in the loop.

What should the AI do — and what should it never try to do?
See the coaching practice
RUNNING NOTES

Still thinking.

Observations, questions, and things I’m working through. Some may grow into longer pieces. Others can stay unfinished.

Follow my writing on Substack ↗