Would you like to help tackle one of the most important sectors for the global economy - maritime shipping? We're hiring for multiple roles: software engineers, data analysts, UI/UX designers, implementation managers.
Nearly every person is affected by stuff shipping on the seas - whether its energy, ore, or wind turbines, but the industry itself is antiquated and archaic, and hampered by paperwork and bureaucracy. Our customers are crying out for better solutions. We're looking for people to help us build those solutions.
If you're the sort of person who is: - intellectually curious about new industries - wanting talking to and getting close to end users - keen to use LLMs and other AI tools
Then please get in touch.
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For our SWE roles we have budgeted ~ 90k USD.
Our tech stack for new projects is largely typescript/vue/mysql (we have several fans of fp-ts and EffectT with us and are investing in using more functional programming). But like the industry at large we also have significant legacy code in javascript. If you're the sort of person who likes refactoring complex projects to make them more workable, then we also want to hear from you.
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For our Data Analyst or Implementation Manager roles:
You'll be helping our customers in maritime shipping get the most from our software. Initially, a lot of that work will be in helping our customers get their data in and out of it. Lot's of MySQL, Metabase, AWS Glue, DBT, or other ETL pipelines.
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For our UI/UX designer roles we have budgeted ~ 40k USD.
You'll be helping us on three different axes: (1) designing the user interface for new features, (2) fleshing out the user journeys and mockups for our roadmap, and (3) helping us craft a consistent and learnable user experience across all our software.
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We hire remotely and globally with offices in Houston, London, Singapore, and Joinville (Brasil). You should be fluent in English. The current team is >20 people. You should be in a timezone within 3 hours of one of those offices.
Interested? You can contact me directly from my profile. I'm the CTO.
Please, no recruiters or agencies.
It could take 20 minutes until we reach the conclusion, at which point he finally explains what the purpose of the final formula is and why we want it.
I got the habit of reading his book in reverse before the lectures; reading section by section in reverse order from the end. This way the mathematical calculations had a clear goal and were faar easier to follow.
... brilliant maths, but he was fully and utterly incompetent at teaching it. And he had a bit of an ego about how many students fail each year because "they're lazy".
Me and a few friends did deep recaps to de-tangle the explanations using his book, rephrasing it in a easier and shorter format; and he accused us of cheating because our scores deviated from the normal distribution.
All this to say; sometimes clever doesn't correlate well to great with words.... though dont take that as a endorsement of trump.
Intro to one of the maths books I had to reference to do my masters thesis. :)