The $6 trillion chemical industry runs the physical economy but still relies on email and Excel.
We are bring agentic AI to the industry, starting with quoting and pricing tools. We are already deployed in major manufacturers and distributors, including Fortune 100 companies. We are looking for scrappy engineers to help scale and own these systems.
Quote Automation
Our agent starts with an email exchange between and account manager, matches the request to the product catalog, asks clarifying questions, and determines the right price (including tariffs, freight, currency exchange). We what is often a weeklong process involving several people and turn it into a 5 minute process. This saves account managers hours each week, improves turnaround time, win rate, and margin.
Bulk Repricing
Chemical companies have an extensive catalog, often 20K+ items. We make the process of determining optimal catalog and customer specific prices sane and manageable.
Technical Sales
coming soon, help us build it!
Read more at
This is a zero to one role. You will own large, ambiguous problem areas and ship production AI agents used daily by sales teams, operators, and plant managers.
In your first 30 days, you may:
Our stack is nothing crazy but helps us ship fast: Typescript, Next, React. We use a mix of LLM models from OpenAI, Gemini, and Anthropic, pick the right one for each use case.
We are building the intelligence layer of modern manufacturing and we would love to talk if this excites you.
Poka Labs builds an AI platform to help sales reps at chemical manufacturers respond to requests from customers and win more business. Our agent understands each companies product catalog, customer purchase behaviors, and company specific pricing logic to price, quote, and win the business.
Malay and Andrew met while pursuing their MBAs at Harvard Business School. Malay previously worked as an engineer in the specialty chemical industry, saving his employers over $100 million across US, China, and German plants. Andrew worked as a software engineer on data infrastructure at Meta and optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in Machine Learning.
Salary
$120,000 - $170,000
Equity
0.5% - 1.5%
Location
San Francisco, CA, US
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.