Full-Time Engineering Manager

About the role:We are seeking an experienced and visionary Engineering Manager to lead our AI Operational Assistants (AIOA) team. This team builds groundbreaking AI-driven tools that empower healthcare providers to automate workflows, optimize operations, and improve patient outcomes.

Key Responsibilities:

• Manage and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Recruit, develop, and retain top engineering talent.
• Conduct regular 1:1s and performance reviews to support growth and development.
• Lead the design, development, and deployment of AI-driven products and features for the AIOA team.
• Ensure projects are delivered on time, within scope, and aligned with company objectives.
• Drive agile processes and establish best practices for engineering workflows.
• Collaborate with Product Management, Data Science, and Design teams to define technical requirements and product roadmaps.
• Guide the team in architecture and systems design to ensure scalability, reliability, and performance.
• Stay up-to-date with emerging AI/ML technologies and assess their applicability to our products.
• Act as a bridge between engineering and other stakeholders, translating business requirements into technical deliverables.
• Communicate project progress, challenges, and successes to executives and cross-functional teams.

What We’re Looking For:

• Proven experience (5+ years) in software engineering with 2+ years in an engineering management or technical leadership role.
• Strong technical expertise in modern programming languages (e.g., Python, Node, or similar) and cloud platforms (e.g., AWS, Azure, GCP).
• Expertise in cloud-native architecture (AWS preferred).
• Experience delivering AI, machine learning, or data-driven products in a production environment.
• Solid understanding of software development best practices, including CI/CD, testing, and code reviews.
• Exceptional communication and interpersonal skills, with a focus on fostering collaboration and alignment.
• Proven track record of managing and mentoring engineering teams in fast-paced environments.
• Hands-on coding contribution up-to 25%.
• Experience in healthcare technology or developing solutions for highly regulated industries is a plus.
• Knowledge of AI/ML systems, frameworks (e.g., TensorFlow, PyTorch) and data engineering pipelines is a plus.
• Familiarity with healthcare interoperability standards (e.g., HL7, FHIR) is a plus.
• Passion for solving complex operational challenges in the healthcare domain is a plus.

Salary: $165,000 to $225,000

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