Degree in Computer Engineering
Apache Kafka, AWS, Azure, Data science techniques, DevOps, JavaScript, Natural Language Processing (NLP), React.js, UI design, UX design
Historically known as healthcare’s data science platform, ClosedLoop has now also begun to pioneer the use of generative AI to deliver personalized support to patients and providers. With a passion for service and a thirst for revolution, we are dedicated to improving health and wellbeing for people everywhere. Through the use of innovative technology and compassionate support at every stage in patients journeys, we offer solutions for patients directly and for members of their care team.
What sets us apart from the competition is our well-established reputation and history of innovation, excellence, and partnership. Competing in and winning the CMS AI HealthOutcomes Challenge in April 2021 put us on the map by surpassing 300 other contenders (IBM, Accenture, Deloitte, Merck, Mayo Clinic, etc.) to win the $1.6 million grand prize.
We welcomed 2024 with another milestone … Our third consecutive year being named Best in KLAS for Healthcare AI. One of our industry’s most prestigious honors, KLAS uses direct customer experience and satisfaction data from interviews by KLAS Research to score healthcare technology companies.
Now on the precipice of more exciting accomplishments and discoveries yet to be realized, we will always be guided by a commitment to do good in order to positively impact the future of Healthcare.
We’re ready to help change the world. Are you? Come join us!
About the Team
Built and based in Austin, Texas, we are a team of “Closers” who are passionate about changing the future of healthcare. With numerous accolades in our trophy case, we have been repeatedly recognized by the Austin Business Journal as a “Best Places to Work” and Built In as a “Best Startups” for our culture and employee-centric programming.
We believe in empowering our teams to do their best work, offer generous employee benefits that include 100% paid medical insurance for employees and their dependents, flexible PTO, paid parental leave, 401k, and ongoing learning and team building opportunities. We believe that diverse teams are stronger teams and understand that building for the future includes embracing and honoring different backgrounds and experiences. Doing so creates the foundation for our ability to build systems that drive unbiased outcomes.
We strive to create a supportive team high in rigor, with a constant improvement mindset. We believe that teams high in trust innovate faster and better, collaborate more effectively, and love their work more. If this sounds like a place where you can see yourself building for a future that transforms healthcare, we’d love for you to join us!
About the Role
Help us revolutionize healthcare through AI-powered solutions that enhance both patient care and provider capabilities. As an Engineering Manager you’ll take over direct management of the existing full stack engineering team to help drive execution in developing cutting-edge conversational AI products that directly impact healthcare outcomes.
Responsibilities
Required Qualifications
Bonus Qualifications
Impact You'll Make:
Join us in transforming the future of healthcare through AI innovation. As an Engineering Manager at ClosedLoop, you will build cutting-edge technology that profoundly enhances how our customers experience healthcare. You'll lead advancements in responsible AI for healthcare, mentor the next generation of healthcare AI engineers, and directly shape the future of AI-enabled healthcare delivery. This is more than a job—it’s a chance to leave a lasting legacy in one of the most critical and impactful industries of our time. Ready to make a difference? Apply today.
The Fine Print
ClosedLoop is Healthcare's Data Science Platform. We make it easy and affordable for healthcare organizations to use data science to improve quality and reduce costs. Our technology consists of two key pillars - a healthcare specific machine learning automation platform and a catalog of pre-built predictive and prescriptive models that can be customized and extended based on your local population needs.