Senior Engineering Manager

RESPONSIBILITIES

• Lead and manage a team of engineers, providing guidance, mentorship, and support to ensure the team's success.
• Own the design and delivery of Sift's SMART on FHIR applications — embedded, standards-based, EMR-agnostic experiences (and CDS Hooks where applicable) that surface Sift's scores and recommendations directly within the EMR workflows.
• Champion AI-driven development across the team. Set standards for agent-assisted engineering (Claude Code, Cursor, Copilot), review of AI-generated changes, and keep the codebase legible and well-documented for both humans and agents.
• Partner with data engineering on the Python, dbt, and SQL pipelines that feed the product, ensuring the frontend and data layers evolve together with quality and reliability.
• Collaborate with cross-functional teams to gather requirements and prioritize engineering initiatives.
• Drive the implementation of best practices across the engineering team, including version control, code reviews, testing, and documentation.
• Identify opportunities for process improvement and automation to enhance the efficiency of engineering workflows at Sift Healthcare.
• Manage stakeholder expectations and communicate effectively with both technical and non-technical audiences within Sift Healthcare.

QUALIFICATIONS

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Proven experience in a senior frontend or full-stack engineering role, with deep hands-on expertise in React, Next.js, and TypeScript — ideally on data-dense or B2B/internal tooling where performance, state management, and accessibility matter.
• Hands-on experience building SMART on FHIR applications — including the SMART/OAuth2 launch and authorization flow, working with FHIR R4 resources, and embedding apps within EMR workflows (CDS Hooks experience a plus).
• Hands-on fluency with AI coding agents and AI-powered product development — using agents as a core part of the delivery workflow and ideally building UIs on top of LLM/ML outputs.
• Experience managing and leading a team of engineers, including hiring, coaching, and performance management.
• Full-stack range is a plus — familiarity with Python, SQL, and data pipeline tools like dbt is valuable for partnering with our data team, but deep backend/Python expertise is not required.
• Familiarity with HL7 v2 messaging (e.g., ADT, ORU) and healthcare interoperability standards more broadly is preferred, but not required.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail, with a focus on delivering high-quality solutions.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

COMPENSATION

Compensation will be based on skills, experience, and performance.