Engineering Manager (AI)

Who We Are:  

With the collective efforts of our epic team members, we’re trailblazing a new path in the DME industry. Synapse Health was founded in 2016 with a goal to fix the fractured DME ecosystem and completely transform the industry. Built on decades of industry and leadership experience, we’ve launched tech-based solutions that eliminate age-old DME headaches, resulting in a seamless experience for all. We are proud to offer work that matters, on a mission that matters.  

Intrigued? Learn more at SynapseHealth.com and on Synapse Health’s LinkedIn.  

What We Need:   

As an Engineering Manager reporting to the Director of Engineering, you'll lead an agile team dedicated to building AI-powered software solutions that significantly scale our organization's capabilities. Your leadership will directly shape innovation and growth within our dynamic team. 

What You Will Do:   

• Lead and grow a 6-8 engineer team focused on applications of LLM-based AI on processing unstructured healthcare data. 
• Collaborate closely with Product Management, Design, and Operations counterparts to define and deliver impactful product roadmaps. 
• Drive continuous improvement in processes and technologies to enhance quality, speed, observability, and predictability, while sharing best practices across teams. 
• Champion modern software practices including rigorous code reviews, automated testing (unit/integration), and robust CI/CD pipelines. 
• Mentor and develop software engineers, fostering growth and professional advancement. 
• Influence broader organizational strategy concerning technology adoption, processes, and technical direction. 

What You Have:    

At Synapse Health we’ve intentionally built a culture of kindness, collaboration, and creativity, and we consider those qualities to be table stakes for any new team member. In addition, this role requires: 

• A Bachelor's degree in Computer Science, Engineering, or a related field. 
• 5-7 years of software development experience, with at least 2 years in an engineering management role (or equivalent). 
• Demonstrated experience hiring, managing, and growing remote engineering teams. 
• Experience in guiding teams through the end-to-end lifecycle of building, optimizing, and deploying LLM-based AI technologies in production environments. 
• Strong business acumen with a focus on product impact and aligning technology with organizational goals. 
• Passion for staying current with evolving software engineering trends and practices. 
• Proficiency with modern CI/CD practices, automated testing frameworks, observability, and feature flagging for rapid deployment. 
• Familiarity with data protection standards in regulated industries (e.g., HIPAA, GDPR). 

What Sets You Apart:   

• Communication: Strong ability to convey and receive information effectively.  
• Conflict Resolution: Skilled in resolving disagreements constructively.  
• Detail-Oriented: Exceptional attention to detail in all tasks.  
• Interpersonal Skills: Builds strong, effective relationships with team members and stakeholders.  
• Time Management: Proven ability to manage time productively and prioritize effectively.  

What Sets Us Apart:   

It’s no secret that most of us work to provide for ourselves and those we love, but just because we have to work, doesn’t mean we can’t enjoy it. In fact, at Synapse Health, we insist on it! We want our team members to thrive personally and professionally, which is why our benefits include:       

• Professional growth opportunities with compelling career paths  
• Healthy work-life balance culture with paid time off (PTO)  
• Medical, dental and vision insurance for full-time team members  
• 401K savings plan with employer contribution match  

Synapse Health is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.