Pollen

Pollen

AI agents that automate customer success

San Francisco
3 employees
Seed · $500K

About Pollen

Pollen is building AI agents that autonomously improve retention. Pollen monitors every customer account to detect back-tested churn and upsell signals by connecting to your communications, support tickets, product usage, and CRM. Then, Pollen tells your team exactly which accounts need attention today and decides what to do next.

Company details

Team Size3
LocationSan Francisco

Funding

Total raised

$500K

Last stage

Seed

Investors

Y Combinator
TTeam Ignite Ventures

Founders

Noah Yin

Noah Yin

Berkeley CS '25. Integrated ML into Amazon Maps app used by 100K+ Prime drivers. Published 6 apps with co-founders. Conducted ML research on COVID-19 classification at Columbia.

LinkedIn
Aldrin Ong

Aldrin Ong

Berkeley CS '25. Worked at AWS twice as SWE, implementing AI context retrieval pipelines and search indices serving 3M users. Started building iOS/Android apps at 15.

LinkedIn
Jeffrey Yum

Jeffrey Yum

Co-Founder & COO @ Pollen | Berkeley EECS | Ex. LLNL, Data Archive Team | Building AI Agents that automate customer success for founders.

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.