$ARPITArpit Jain · Senior Product Manager

LIVE NYSE: HIRE AI × Pricing

$26.02

▲ $25.02 (+2,502%) All time

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Latest earnings call

“I turn messy pricing data into products people actually pay for.”

I lead Growth and Dynamic Pricing at PriceLabs. I've been obsessed with AI since 2016, when I trained my first neural net on CCTV footage in an IIT Delhi lab. Since then I've moved between consulting, med-tech, research and SaaS, and I keep ending up where data, pricing and product overlap.

— Arpit, CEO, CPO & sole shareholder

Annual report

The 10-K

Every chapter, filed. Tap one to read it.

FY2023 – Present PriceLabs · PM → Senior PM ▲ ATH

Came back to the company that taught me to ship. Now I run Growth and Dynamic Pricing.

Lead product across Growth and Dynamic Pricing, owning both core algorithmic intelligence and user-facing pricing controls.
Led the 0-to-1 launch of Revenue Estimator Pro ↗ from a blank page to a paid product.
Established continuous growth experimentation loops across onboarding and trial activation to drive sustainable paid conversion.

FY2021 – 2022 UCLA Anderson · MS Business Analytics ▲ Reinvest

Reinvested in the fundamentals.

Product Analytics Intern at Twitter (now X), working on social products: Spaces and Communities.
Product Manager at TheLoops, an early-stage B2B SaaS startup. Shipped analytics features from discovery to launch.

FY2021 PriceLabs · Data Scientist ▼ Strategic dip

Gave up the PM title to learn what "shipping code" really means.

Worked on the next-gen dynamic pricing algorithm.
My algorithm improvements fed into the next-gen launch two years later. Best dip I ever bought.

FY2018 – 2021 Stryker · Product Manager, AI/ML ▲ Pivot

Moved from consulting decks to software, inside a med-tech company.

Built AI-powered workflow features for medical appraisals and sales forecasting.
On the side, did research with Prof. Aaditeshwar Seth at IIT Delhi: deep learning on satellite imagery, which led to an ACM publication.
This is where I found my love for AI-powered products.

FY2017 – 2018 Ernst & Young · Associate Consultant ▲ IPO

An unusual start: management consulting.

Analyzed distributor networks and supply-chain planning for a large CPG client.
Found where sales were leaking across a large dealer network. That was my first taste of data changing a decision.

FY2013 – 2017 IIT Delhi · B.Tech, Electrical Engineering ▲ Seed

The seed round.

All India Rank 604 in IIT JEE.
In 2016 I trained my first deep learning model, AlexNet on CCTV images, and got hooked.
Danced on the IIT Delhi dance team: technical rigor, creative expression.

Investment thesis

The bull case

How I work. These are opinions, not a framework.

Learn one level below your job.

I took a data-science role to understand how code actually ships. Now I write better specs and get fewer surprises.

Pricing is product.

What you charge and how you charge it tells customers who the product is for. I treat it as a feature, not a spreadsheet.

Ship the smallest thing that can prove you wrong.

A wrong v1 in front of users teaches more than a perfect deck in front of execs.

Data says what. Customers say why.

Dashboards find the leak. Conversations explain it. I need both before I'll bet the roadmap.

Risk factors

May respond to a "quick question" with an A/B test proposal.
Will mentally reprice your Airbnb before you finish describing it.
Prone to building side projects at 2 a.m. See: Spin-offs.
Former dance-team member. Offsite dance floors are a known exposure.

Subsidiaries

Spin-offs

Side projects built out of curiosity. Both are now private and archived, but the lessons stayed on the balance sheet.

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