Engineering Manager, AI Data Platform

🔥 29 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 1%

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Imagen Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

Healthcare • Artificial Intelligence

Imagen Technologies is a company focused on empowering primary care through onsite, technology-enabled diagnostic solutions. By leveraging advanced technologies such as machine learning, artificial intelligence, and deep learning, Imagen enhances clinical outcomes, patient satisfaction, and financial results for primary care practices. The company specializes in areas including radiology, medical imaging, and software engineering, particularly through innovative applications in computer vision and medical devices.

📋 Description

• Hire and manage a team of data engineers ranging from staff to mid-level • Establish team processes, engineering culture, and development practices • Coach and grow engineers across multiple levels • Take full technical and operational ownership of the AI Data Platform • Ingest, de-identify, transform, and serve clinical imaging data such as DICOM and reports • Ensure the platform is reliable, scalable, and secure • Set the technical direction and execute the platform roadmap • Prioritize scalability improvements, new capabilities, and technical debt reduction in alignment with business OKRs • Implement data quality frameworks, validation checks, and governance processes • Ensure compliance with HIPAA and other applicable regulations • Serve as the primary point of contact for AI, Product, Clinical, and Regulatory teams • Translate stakeholder needs into a prioritized roadmap and ensure reliable delivery • Report to the Head of Engineering and partner with the Chief AI Officer, Product leaders, Clinical team, and engineers across the organization

🎯 Requirements

• Mission-driven and passionate about building foundational technology to improve healthcare • 8+ years of experience in software or data engineering • At least 2 years in an engineering management role • Proven track record of building engineering teams or scaling teams through a significant growth phase • Strong technical foundation in data engineering • Comfortable reviewing system designs, making architectural decisions, and contributing code in Python and SQL when needed • Experience with cloud-native data platforms and modern data infrastructure, including data lakes, data warehouses, ETL/ELT pipelines, and workflow orchestration tools like Airflow, Prefect, or Dagster • Demonstrated ability to manage cross-functional stakeholders and translate business needs into engineering priorities • Experience operating in a fast-paced, high-growth environment where priorities shift and ambiguity is the norm • BS in Computer Science or a related field, or equivalent real-world experience • Experience in healthcare, healthtech, or another regulated industry preferred • Experience with MLOps or building infrastructure that supports machine learning workflows preferred • Experience with multi-cloud environments and cloud cost optimization preferred

🏖️ Benefits

• Equity • Benefits • Remote work

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