Caspian Trade, Inc. | Software Engineer | SF, Hybrid 3+ days a week | Full-time
We're simplifying global trade compliance and helping importers navigate the trade environment, starting with duty drawback—a tax recovery process that puts cash back into importers' hands. Our platform transforms messy trade data into actionable insights, helping businesses recover from the estimated $10B in unclaimed refunds each year.
- AI/ML document ingestion processing thousands of unstructured documents
- Data modeling for the complexities of global trade
- Matching optimization (think: the world's biggest matching problem)
- Building integrations across ERPs, customs brokers, and the countless creative ways companies manage trade data
The team is small, growing and well funded with with real revenue + domain expertise. If you're a product-minded engineer excited about shepherding AI to an old industry, let's chat: ebeweber@meetcaspian.com
We're building trade software that actually works.
Our first product is duty drawback. Every year $10B in potential refunds are left unclaimed. Data is unstructured, fragmented and trapped in legacy systems that don't talk to each other. We're helping companies organize and understand their trade data. Leveraging the wedge product, we intend to quickly grow beyond our initial product.
You'll work with a small (5-10), well-funded and experienced team. We have paying customers and are scaling up quickly in an established space. Our engineering culture emphasizes simplicity, autonomy and end-to-end ownership. Node, Typescript, React, PostgresQL
Feel free to reach out to ebeweber@meetcaspian.com
Caspian | Full-time | Hybrid w. in-office requirement (SF)
At Caspian, we're helping companies understand and control their duty and tariff exposure. We're a small, well funded early stage company applying modern technology to one of the world's oldest industries.
The team is small, experienced (10+ years in logistics) and moving quickly figuring out how to scale our solution (yes, we have customers) to the next cohort of customers.
We're looking for engineers who love to learn quickly, build with autonomy and are excited to provide solutions to real businesses. We're working out of the Presidio in San Francisco. If you're up for a challenge, let's talk ebeweber@meetcaspian.com
Caspian is an early-stage venture backed startup focused on helping corporations manage their duty and tariff exposure. We're starting with duty drawback, a filing that gets companies money back for activity they are already doing. Over $7B in duty drawback claims go unclaimed every single year.
We're looking for engineers who are excited to learn quickly and bring modern technology to an old, unloved industry. The current team is < 5 people and has 10+ years of experience in building enterprise products in the logistics space. You'll help shape the early team and product. We're currently working out of the Presidio in San Francisco.
Current Openings
- (Senior?) Software Engineer
- Applied AI Engineer
To apply: send your resume to ebeweber@meetcaspian.com
Depends on when the 409a was performed and when the exercise happened. When the startup I work at got our Series A, a new 409a was done and increased the share price by roughly the same multiple of the new valuation, and now I have a wide spread for AMT should I exercise my options because of the new 409a.
So it's possible for employees to have joined after the new 409a when it was valued at 1.5bln and early exercised against that value.
I have a hard time actually visualizing this math. Let’s say you join a 1.5B valued company and get offered $100k in stock options, but at $20k. So an 80% discount.Assuming the company meets the revenue goals maybe 10 years in the future but otherwise no other growth beyond the valuation, is it worthwhile for the employee to exercise the options, not early? Presumably they would have to turn around and pay another $20k in taxes the year that they exercised
A problem I've noticed working at larger companies is complexity simply for the sake of demonstrating complexity. In order to demonstrate technical prowess or importance, engineers will push a project in terms of headcount, solution, etc.
Good engineering can look simple. The best engineers I've worked with will make things look easy. This can be at odds with promo driven culture.
OpenSea's comms afterwards felt a little weak / lacking. I'm curious if they are still scrambling to put something together, investigate + determine appropriate action. The community is full of mixed reactions, so perhaps waiting for consensus or things to naturally blow over.
> We want to be clear that this behavior does not represent our values as a team
It was the head of product (from the top), so it's pretty damning wrt team values.
We're simplifying global trade compliance and helping importers navigate the trade environment, starting with duty drawback—a tax recovery process that puts cash back into importers' hands. Our platform transforms messy trade data into actionable insights, helping businesses recover from the estimated $10B in unclaimed refunds each year.
- AI/ML document ingestion processing thousands of unstructured documents - Data modeling for the complexities of global trade - Matching optimization (think: the world's biggest matching problem) - Building integrations across ERPs, customs brokers, and the countless creative ways companies manage trade data
Node, NestJS, TypeScript, PostgreSQL, React, Relay/GraphQL, BullMQ/Redis, Nix
The team is small, growing and well funded with with real revenue + domain expertise. If you're a product-minded engineer excited about shepherding AI to an old industry, let's chat: ebeweber@meetcaspian.com
https://meetcaspian.notion.site/Sr-Software-Engineer-Caspian...
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