Senior Manager, AI

Skills

About the Role

You'll lead and grow a high-performing engineering team with a strong product mindset, owning outcomes end-to-end from the cohesive data layer and semantic foundations to the intelligent platform and agents serving health insurance plans covering over 15 million people. You'll partner closely with Product, Data Science, and Clinical Operations to build and scale capabilities that directly impact patient access and operational efficiency. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.

Requirements

• 10+ years of software engineering experience, including 3+ years leading and developing high-performing engineering teams.
• Experience building and scaling production AI-powered applications and platforms, with expertise in machine learning infrastructure, model deployment, and operational excellence.
• Strong experience designing scalable data architectures and distributed systems that support intelligent applications.
• Strong software engineering fundamentals with experience building cloud-native applications using modern programming languages and infrastructure tooling.
• Proven ability to define technical strategy, establish engineering best practices, and influence technical direction across multiple teams.
• Excellent cross-functional leadership skills with experience partnering closely with Product, Data Science, Clinical, and Architecture teams. Healthcare experience is a plus.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Responsibilities

• Lead, manage, and grow a distributed engineering team, fostering technical excellence, accountability, and a culture of mentorship and continuous improvement.
• Own the technical strategy and roadmap for AI platforms, applications, and agents, partnering with Enterprise Architecture to deliver scalable, reliable, and observable systems.
• Design data, retrieval, and semantic architectures that provide AI agents with accurate, contextual information across complex healthcare data sources.
• Drive architecture for model serving, inference optimization, and production AI systems while establishing MLOps best practices for deployment, monitoring, experimentation, and performance.
• Partner with product, ML, data science, and architecture teams to translate business needs into scalable technical solutions.
• Drive agile delivery, define engineering quality and reliability metrics, and champion operational excellence, security, and HIPAA-compliant platform design.

Benefits

• Fully remote opportunity with about 5% travel
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• 401K retirement plan with company match; flexible spending and health savings account
• Flex Time Off + company holidays
• Up to 14 weeks of paid parental leave
• Pet insurance