Staff Software Engineer

Promptly is building the first patient-centered global evidence network, offering real world data sharing and monetization capabilities. Together with a selected network of Partners, we generate new knowledge from harmonized datasets, augmented with the collection of longitudinal patient-reported data and patient-generated digital biomarkers within a secure and privacy-preserving environment.

We answer the question – is this patient treatment the best it could possibly be?

What’s our purpose

We exist to empower every patient and every health organization on the planet with evidence on the outcomes of care

Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients’ lives. And so have we We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care.

For us, society denying patients better care due to lack of access to data is unethical, in a world where technology improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have – it’s our Hippocratic Oath.

At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available.

About the role

Promptly is building healthcare data infrastructure for real-world evidence, patient-reported outcomes, and AI-enabled healthcare products. We work with sensitive, fragmented, and regulated data across hospitals, partners, patients, and life sciences organizations.

We are looking for a Staff Software Engineer to help shape and build the technical foundation of our platform as we scale.

This role is for an experienced technical leader who can operate across architecture, product, code, data, integrations, reliability, and AI-enabled workflows. You should be able to define technical direction, lead important engineering decisions, work across teams, and stay close enough to the code to understand the real trade-offs.

You should be comfortable working on ambiguous problems where the right answer is rarely "just build more software." Some problems need architecture. Some need a better product decision. Some need a migration path. Some need sharper engineering standards. Some need someone to sit with the team, understand the mess, and help move it forward.

What you’ll do

- Lead the technical direction of complex engineering initiatives across products, teams, or critical systems.

- Design and evolve systems that are reliable, secure, maintainable, and ready to scale across healthcare environments.

- Work hands-on in the codebase, especially in technically difficult or ambiguous areas.

- Shape architecture across backend systems, frontend applications, APIs, data flows, integrations, internal tooling, and AI-enabled product capabilities.

- Help teams make good technical trade-offs around speed, quality, reliability, privacy, security, and long-term maintainability.

- Improve engineering standards through design reviews, code reviews, observability, testing practices, documentation, and operational discipline.

- Mentor engineers and help raise the level of technical judgment across the team.

- Partner with product, data, customer-facing, and leadership teams to turn healthcare and business needs into pragmatic technical solutions.

- Identify technical risks early and create realistic paths to reduce them.

- Help Promptly use AI well: in our products, in internal workflows, and in the way engineering teams build software.

How we build with AI

At Promptly, AI-assisted development is part of how we work. We expect engineers to use coding agents, copilots, code search, AI-assisted debugging, and automated review to move faster through real engineering work.

We expect engineers to use AI as part of a modern development workflow, with the same standards of craft, quality, and accountability we apply to any production system. Strong engineers know where AI accelerates the work, where it introduces risk, and where human judgment needs to lead.

You own what you ship. You should be able to explain the design, inspect the diff, validate the behavior, check the security and privacy implications, debug failures, and operate the system in production. If you cannot understand it, test it, secure it, and maintain it, you should not merge it.

What we’re looking for

Required

- 8+ years of software engineering experience, with strong experience building and operating production systems.

- Strong fu