Engineering Manager

Summary

Join Qventus, a leader in healthcare transformation, as an Engineering Manager for our AI Operational Assistants (AIOA) team. You will lead a team building AI-driven tools to automate workflows and improve patient outcomes. This role requires strong technical expertise in AI/ML, software engineering, and team management. You will drive project delivery, collaborate across departments, and mentor engineers. The position offers a high impact, combining technical leadership with strategic oversight. Qventus provides a competitive salary and benefits package, including open paid time off, parental leave, professional development, wellness programs, technology stipends, employee referral bonuses, and stock options.

Requirements

• 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%

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

Preferred Qualifications

• Experience in healthcare technology or developing solutions for highly regulated industries
• Knowledge of AI/ML systems, frameworks (e.g., TensorFlow, PyTorch) and data engineering pipelines
• Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
• Passion for solving complex operational challenges in the healthcare domain

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness
• Technology stipends
• Generous employee referral bonus
• Employee stock option awards