Principal Product Engineer, Data Applications

Company Overview

Position Overview

Key Responsibilities

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

What We Offer

• Competitive compensation ($170k–$200k) + equity and benefits.
• Opportunity to shape Kairon’s entire data architecture and own a critical technical domain.
• Collaborative, high-autonomy culture — work directly with founders and senior engineers.
• Mission-driven work: build systems that directly impact how practices care for patients and succeed in value-based care.