* Growth chief of staff | SF | Full time | $125K–$195K + equity
* Applied AI Systems Engineer | SF, Remote (North America) | Full-time | $120-180K + equity
We’re mission-driven capitalists: making life-saving drugs more accessible, and building a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
Traction: profitable and growing fast. Selling 7+ figure contracts to enterprise healthcare customers.
Team: built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
Top investors: funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
Outsized impact & opportunity: work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
If you want to work on a team of A-player athletes, doing the best work of your career, and helping get life-saving drugs to the people who need them, apply here: https://jobs.ashbyhq.com/neon-health (and make sure to mention HN!)
Neon Health | AI agents in healthcare | Hiring Eng and BizOps | SF, Remote (North America)
We’re mission-driven capitalists: making life-saving drugs more accessible, and building a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
Traction: profitable and growing fast. Selling 7+ figure contracts to enterprise healthcare customers.
Team: built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
Top investors: funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
Outsized impact & opportunity: work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
If you want to work on a team of A-player athletes, doing the best work of your career, and helping get life-saving drugs to the people who need them, apply here: https://neonhealth.com/careers#open-positions (and make sure to mention HN!)
Good question! Our frequent offsites allow us to get most of the benefits of a tight-knit in-person team, while still having flexibility to bring on teammates working outside the SF Bay Area.
TLDR:
- We have a preference for SF Bay Area-based teammates, but are open to remote – as long as they can work PST hrs.
- And we have frequent offsites to bring the team together.
We’re mission-driven capitalists: making life-saving drugs more accessible, and building a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
Traction: profitable and growing fast. Selling 7+ figure contracts to enterprise healthcare customers.
Team: built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
Top investors: funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
Outsized impact & opportunity: work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
If you want to work on a team of A-player athletes, doing the best work of your career, and helping get life-saving drugs to the people who need them, apply here: https://dub.sh/YC250601 (and make sure to mention HN!)
Gross to see toxic attitudes normalized like this. These folks could all benefit from reading the 15 commitments of conscious leadership https://conscious.is/15-commitments
In particular the bit about taking responsibility for ones circumstances
> I commit to taking full responsibility for the circumstances of my life, and my physical, emotional, mental and spiritual wellbeing. I commit to support others to take full responsibility for their lives.
vs
> I commit to blaming others and myself for what is wrong in the world. I commit to being a victim, villain, or a hero and taking more or less than 100% responsibility.
And even worse: after spending the time to infer what the user wants -- the software might guess wrong.
Therefore it probably makes sense to constrain the software's use cases -- either i/ to specific functions (e.g. product, eng)
or ii/ to specific roles across functions (e.g. management, support desk triage)
An added benefit of constraining use cases like this is that it's easier to market to a specific use case.
Sunsama helps me proactively plan my "big rocks" for the week/day. I like that you can drag tasks to the calendar and timeblock them that way. it also tracks the time on each task which helps me calibrate how long things actually take.
I spend a TON of time in Slack. I used to feel distracted by unimportant messages and constantly worried about losing track of important messages. Dispatch helps with both issues:
i. Filtering out distraction: it's much easier to separate out the important messages from everything else. I can set rules and filters to route messages into different "Inboxes". e.g. Important, Clients, Product, Other, etc.
ii. Keeping track of messages: it treats messages much like an email inbox. Messages stay "open" until I explicitly mark them "done".
Startup growth strategy w/ Eric Dodds, head of product marketing at RudderStack
Highlights
Focus:
> The best way to have success is to do a smaller number of things — but to do them really well so that you maximize your chances of success with them.
> We put all our energy behind exploiting the one or two main advantages that we had over the incumbent.
Find the efficient frontier:
> We think about growth channels in terms of the ‘efficient frontier’. At a certain point, the returns from a growth channel start to level off — like a logarithmic curve.
The productivity lie:
> Getting through all your Slack messages can feel like productivity, right? But it’s not! It’s so easy to fall prey to this really pernicious lie.
> When I looked around I was fully ready to pick up another tool and install it on Gigride immediately.
>
> Turns out there are some alternatives for Google Analytics but I didn’t find any of them compelling. Simple Analytics and Fathom are the closest to my ideal but they are a bit too barebones to be useful for my use-case. For example, it’s quite important to me what browsers versions my users are on – if I use a css rule that isn’t supported in IE7, how many users does it affect? Neither Fathom or Simple Analytics provide that answer currently.
>
> This seems like an opportunity to build the tool that I really want.