dokein
Joined 9 years ago
Joined 9 years ago
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
- DevOps
- FS Eng (Senior and Staff)
- Product designer
- Technical PM
- Customer success
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/careers
If interested email us at hiring at smarterdx dot com
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
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/careers
If interested email us at hiring at smarterdx dot com
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!)
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/careers
If interested email us at hiring at smarterdx dot com
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 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.
Plus we have 4 full years of runway.
Who we are looking for:
- Data scientists
- Security engineers
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html
If interested email us at hiring at smarterdx dot com
LLMs are typically implemented in a way that makes them non-deterministic (i.e. temperature > 0).
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.
Plus we have 4 full years of runway.
Who we are looking for:
- Data scientists
- Analysts
- Healthcare data engineers
- EMR integration specialists
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html
If interested email us at hiring at smarterdx dot com
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.
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.
Plus we have 4 full years of runway.
Who we are looking for:
- Full stack engineers
- Data engineers
- Data scientists
- MLOps engineers
Be part of the journey as we hone our PMF and build to scale! For more, see: https://smarterdx.com/positions.html
If interested email us at hiring at smarterdx dot com