Solutions Engineer, Post Sales

Remote

Benefits

If you're passionate about how technology can supercharge healthcare, you’ll fit right in.
Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we’re working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable.
How you'll be compensated - Salary: $160K - $200k + equity - Your salary is dependent on your location and
experience level - Generous early stage options (extended exercise post 2 years employment) - Regular in-person offsites, last were in Tenerife and Miami - Monthly learning budget of $300 for personal development and productivity - Flexible, remote-first working - including $1K for home office equipment - Monthly budget of $150 to use towards a coworking space - 25 days off a year + national holidays - Healthcare coverage depending on location Oh and before we forget: - Backend Stack: Python (FastAPI), Go,

Healthcare is in crisis and the people behind the results deserve better.
With more and more data coming from wearables, lab tests, and patient–doctor interactions, we’re entering an era where data is abundant.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices.
Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.
We’re already connecting millions and scaling fast. Short on time?
- Ownership: Post-sales technical calls, onboarding customers through integration, owning technical collateral, and translating recurring customer blockers into structured feedback for Product and Engineering.
- Location: Fully remote (EST timezone only) Why we need you We have more customers coming in than Product can support directly.
Right now, we’re struggling to juggle building new features and providing great customer service to deeply technical customers.
Customers come to us with detailed technical questions: API authentication, access models, architecture, integration patterns, device data flows, lab network coverage, and compliance requirements (HIPAA, SOC 2, BAAs).
Product handles most of it because they have the context. That doesn’t scale.