Engineering Manager

PatientIQ

15d

About The Position

PatientIQ is a fast-growing health tech company on a mission to improve patient outcomes. We partner with healthcare providers, medical device companies, and researchers to collect, analyze, and act on patient-reported outcomes data at scale — powering smarter clinical decisions and accelerating the future of value-based care. Headquartered in Chicago and backed by top-tier venture capital and major health system investors, PatientIQ is building the largest platform for healthcare providers, industry partners, and researchers to collaborate on what matters most: helping patients get better. We are searching for an Engineering Manager that has experience leading teams working with large production applications. As an Engineering Manager, your leadership will be critical in revamping our existing software experience and helping build our future from the ground up using modern technologies and techniques.

Requirements

8+ years of professional software experience
3+ years of Ruby-on-Rails experience
1+ years of experience managing engineers
Comfortable using AI throughout the software development lifecycle
Experience within the healthcare software industry
Comfortable working in a startup environment where you must create clarity out of ambiguity

Nice To Haves

Experience with React, Typescript, GraphQL
Experience integrating with EHRs, HL7, FHIR, and/or SmartOnFHIR
Experience with medical coding standards - CPT, ICD-10, SNOMED
Experience working on large-scale data-driven products or features - leveraging aggregation, data cleaning, data transformation, data attribution, etc.

Responsibilities

Manage and mentor a team of 4-6 engineers, facilitating their professional development.
Be a player-coach - active in coding contributions and technical support.
Own team agile rituals such as planning, ticketing, backlog grooming, and retrospectives.
Plan, lead, and support new production features and projects - partnering with Product Managers and designers to turn business requirements into sound technical solutions.
Proactively collaborate with key internal stakeholders to support production usage of our software by our enterprise customers.
Champion software performance, scalability, reliability, and observability.
Actively balance new development against technical debt and architectural improvements.
Actively lead in the adoption/usage of AI tooling and techniques throughout our software development practices.