Who We Are  We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates.  Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence.  Who We're Looking For  We are seeking a Senior Software Engineering Manager who is passionate about innovation and motivated to succeed. The team needs a player/coach with .NET experience who is ready to grow alongside our product, teams, and revenue. In this role, you'll collaborate with team members and vendors to design, develop, and deploy top-tier healthcare software. You’ll provide technical leadership and ensure scalable, high-performance solutions. If you want to grow quickly and be part of something exciting, this is your opportunity!  This is a US-based role, and candidates must live in Chicago, IL.   Responsibilities  - Lead, mentor, and grow a globally distributed software (fullstack) engineering team  - Act as a hands-on software architect, defining system design and long-term technical strategy  - Partner closely with Product, Design, and Operations teams  - Own architectural decisions for scalability, security, and performance  - Oversee delivery of complex systems and integrations  - Establish engineering best practices, CI/CD standards, and quality metrics  - Drive operational excellence and continuous improvement

Who We Are  We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates.  Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence.  Who We're Looking For  We are seeking a Senior Engineering Manager who is passionate about innovation and motivated to succeed. The team needs a player/coach with .NET experience who is ready to grow alongside our product, teams, and revenue. In this role, you'll collaborate with team members and vendors to design, develop, and deploy top-tier healthcare software. You’ll provide technical leadership and ensure scalable, high-performance solutions. If you want to grow quickly and be part of something exciting, this is your opportunity!  This is a US-based role, and candidates must live in Chicago, IL.   Responsibilities  - Lead, mentor, and grow a globally distributed engineering team  - Act as a hands-on software architect, defining system design and long-term technical strategy  - Partner closely with Product, Design, and Operations teams  - Own architectural decisions for scalability, security, and performance  - Oversee delivery of complex systems and integrations  - Establish engineering best practices, CI/CD standards, and quality metrics  - Drive operational excellence and continuous improvement

• Technical Leadership: Lead the design, development, and maintenance of a robust platform that allows users to create, manage, and orchestrate AI agents and their interactions. • Multi-Agent Frameworks: Build and optimize frameworks for multi-agent coordination, leveraging orchestration tools like LangGraph to enable complex workflows and pipelines. • LLM Integration: Work with multiple LLMs (e.g., OpenAI, Anthropic, Cohere) to ensure seamless integration and scalability for individual and collaborative agent operations. • Evaluation Frameworks: Develop and implement systems to test AI agents in complex scenarios, focusing on both individual performance and system-level dynamics. • AI Innovation: Stay ahead of AI advancements, incorporating the latest research and technologies to enhance agent collaboration and capabilities. • Cross-Functional Collaboration: Partner with product managers, designers, and frontend engineers to deliver a seamless user experience for building and deploying intelligent systems. • Privacy and Compliance: Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices. • Search Integration: Improve and integrate search capabilities into the platform to provide agents with essential information access.

• Manage, mentor, and develop a team of iOS and Android engineers, fostering a culture of collaboration, accountability, and continuous improvement • Conduct regular 1:1s, performance reviews, and career development conversations • Create an inclusive team environment where engineers feel empowered to take ownership and do their best work • Define, document, and evangelize engineering standards and best practices across mobile platforms • Provide architectural guidance and ensure technical decisions align with long-term product and platform goals • Partner with engineers to resolve complex technical challenges, offering mentorship and direction without necessarily writing the code yourself • Drive improvements to code quality, testing practices, CI/CD pipelines, and release processes • Work with product managers, UX designers, and other stakeholders to plan, prioritize, and deliver features on schedule • Balance multiple objectives across teams, ensuring alignment between iOS and Android development efforts • Lead agile ceremonies and ensure the team operates efficiently within a scrum framework • Collaborate with quality assurance and customer success to triage and resolve application issues • Partner with hardware and embedded systems teams to ensure seamless integration between mobile applications and ButterflyMX devices • Evaluate and integrate AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) into team workflows to improve developer velocity and reduce toil • Identify opportunities to leverage AI and automation across the development lifecycle—from code generation and review to testing, documentation, and debugging • Stay current on emerging AI tools and techniques, sharing knowledge with the team and driving experimentation