I can't comment on the manufacturing process, but in terms of durability -- would probably just put this in between two panes of glass in a double pane window?
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
Who we are looking for:
- Data scientists
- ML Ops
- FS Eng (Senior and Staff)
- Product designer
- Technical PM (not listed yet on careers but we are hiring for this!)
You're right, and there's other things like restaurants that require capital and have a cap on earnings.
I should have phrased it as venture capital, which is structured to look for unicorns.
There are other forms of capital that are appropriate for businesses with a high chance of returning a moderate gains instead of a low chance of extraordinary gains.
There's two axes. One axis of the matrix is what the founder wants. The other axis is what the business needs.
The business needs axis is continuous:
- Some businesses obviously don't require outside capital (e.g. founder is equipped to get a sellable product built by themselves).
- Some businesses require tons of outside capital and cannot be bootstrapped; self-driving cars is an obvious example.
- Some are in between; e.g. many b2b products require a baseline level of features / complexity with active competitors that's hard to achieve by bootstrapping.
If a business requires a significant amount of capital AND the maximum outcome is e.g. $500K a year, then it shouldn't exist. This is why VCs ask what the market size is.
Some founders think raising outside capital is a "win". They want that external validation and then convince themselves and/or VCs that there's a big outcome on the other side (or, in the ZIRP 2021 era, get convinced by VCs). This is a mistake -- the only external validation that matters is market validation.
Instead, founders should think of outside capital as a necessary evil, and make a clear-headed decision as to whether the benefits of capital for their businesses is worth the cost (in the form of preference and control -- or at least influence). And it should be worth the cost by some significant margin, because outside capital is often optimizing arithmetic mean outcome whereas the founder is often optimizing something closer to geometric mean outcome.
We appreciate your feedback! We will experimentally see what type of candidates we can attract and update our process from there. I may be overly optimistic, but am hopeful this will attract the "T-shaped" candidate who's great at one area but is willing to roll up their sleeves in others.
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
I won't debate that no 'human' creativity is involved, but human brains are a purely mechanical process, and that's where human creativity originates (unless one invokes the supernatural).
LLMs are typically implemented in a way that makes them non-deterministic (i.e. temperature > 0).
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
Thank you for the feedback. We're a small team and are experiencing growing pains (on account of keeping up with revenue growth), but that doesn't make it less frustrating when something like this happens.
We do try to get back to all candidates within a short timeframe but I know that some have slipped through the cracks. We've recently brought on a talent person who will help us improve the interview experience.
Please accept my apologies and best wishes to your continued search.
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Bessemer, and are currently on pace to 30X in revenue over a two-year time period.
SmarterDx | 180 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.
We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), deployed successfully, and are currently on pace to 30X in revenue over a two-year time period.
Plus we have 3 full years of runway.
Who we are looking for:
- Full stack engineers
- Data engineers
- Data scientists
SmarterDx | 150 - 230K + equity + benefits | Remote first (but U.S. only due to data confidentiality) | Full time | www.smarterdx.com
Looking for: FE Eng
We are an early stage health tech company using AI to improve hospital revenue cycle (making healthcare costs lower and allowing doctors to focus on patient care). The team is small but high functioning (M.D. data scientist combos, former ASF board member, Google and Amazon engineers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital. We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), deployed successfully, 6X'ed in the past year, and we have runway through Dec 2025.
We think there's an opportunity to build 'AI first' workflows (e.g. exception-based workflows) are looking for *Frontend Engineers* that can help us reimagine hospital workflows.
We are a no B.S. organization. If interested email us at hiring at smarterdx dot com
In this particular case, the stock sales before collapse were 'scheduled' just weeks before the sale, as opposed to many normal circumstances when it's scheduled months or even years in advance:
"The sale of 12,451 shares on Feb. 27 was the first time in more than a year that Becker had sold shares in parent company SVB Financial Group, according to regulatory filings. He filed the plan that allowed him to sell the shares on Jan. 26." [1]
I appreciate that's perhaps how it'll be viewed, but let's be clear here: "big tech" is not being bailed out. Apple, Google, Meta, etc. do not have a substantial portion of their cash in SVB. Sequoia, Andreesen, etc. do not have a substantial portion of their fund in SVB (most of it is kept by their LPs until actually used). Investors of SVB are not being bailed out -- shareholders exit last (as they should).
The people being "bailed out" are the owners and employees of small businesses and startups that, just by nature of having a deposit as SVB, unconsciously acted as a creditor to an institution that had an 'A' credit rating by Moody's, a 'Buy' rating by JPM, and had passed whatever monitoring and risk tolerance requirements put in place by the Fed.