10mo ago

Principal Product Engineer, Data Applications

New York City (hybrid)Hybridfull-timelead

EngineeringProduct Engineer

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Quick Summary

Key Responsibilities

an engineer who understands product trade-offs, can shape features from user

Requirements Summary

Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches. Architect end-to-end features: Connect backend models, APIs,

Technical Tools

EngineeringProduct Engineer

Kairon Health is building the operating system for value-based care. We help physician groups, ACOs, and health systems achieve financial and clinical excellence by uniting practice data, performance insights, and workflow intelligence in one seamless environment. Our platform parses, normalizes, and connects data across fragmented systems (EHRs, payers, CRMs, and qualitative sources) so practice leaders can make clear, confident decisions that improve outcomes and drive sustainable growth.

Join us in transforming how healthcare organizations operate, make decisions, and care for patients.

We’re seeking a Principal Product Engineer, Data Applications to own the product layer where data meets decision-making. You’ll build the data-powered applications that surface intelligence directly to users — from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.

This is a full-stack, product-oriented engineering role. You’ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon’s insights to life for practice leaders. You’ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.

You’ll thrive here if you’re as excited about what you build as why you’re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.

Responsibilities

~1 min read

→Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.
→Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.
→Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.
→Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).
→Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.
→Contribute to design & UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.
→Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.
→Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.

Requirements

~1 min read

6+ years of professional experience building production web applications (frontend + backend).
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.
Familiarity with healthcare, analytics, or enterprise SaaS environments.
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.

Experience in healthcare or value-based care analytics, EHR data, or claims data models.
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.
Strong understanding of data visualization principles and UX for analytics products.
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).
Previous experience in an early-stage or high-growth startup environment.