Director, Engineering

We are seeking an exceptional Director, Engineering to join our Search team. This role will report to the Chief Technology Officer. The Search team owns our provider recommendations system, provider data aggregation pipelines, and our AI-powered member support systems.

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. Relocation assistance is available for non-local candidates.

• Lead the development of a world-class Search system that organizes provider data in order to deliver relevant and impactful recommendations to our members
• Own and drive the execution of relevant quarterly deliverables and long-term strategy
• Collaborate closely with cross-functional teams to align strategies and achieve company objectives
• Provide leadership and guidance to your teams, fostering a culture of excellence, collaboration, and accountability
• Ensure your team proactively incorporates relevant new technologies, system designs, and strategies, especially in the domains of big data, ML, and AI
• Influence relevant partner teams in order to accelerate delivery across the organization
• Champion and ensure the privacy and security of our users’ data
• Mentor, grow, and recruit Garner’s next generation of engineering leaders

• 6+ years in software engineering, including 3+ years managing software or data engineering teams
• 1+ year managing engineering managers
• Experience operating production ML systems for user-facing use cases using modern ML platforms (e.g., SageMaker, Vertex AI, MLflow, BentoML, or similar)
• Familiarity with feature engineering technologies, including DataFrame-based processing frameworks and feature stores used in production systems
• Familiarity with the production ML lifecycle, including how models are packaged, deployed, and iterated over time; model development experience is not required
• Familiarity with data engineering concepts that support ML-powered systems, including large-scale data processing and orchestration (e.g., Spark, Airflow, or similar) used to produce and maintain model features
• Experience with personalization, recommendation, or search systems preferred
• Ability to translate complex business needs into a clear, executable technical roadmap
• Experience working with regulated data; healthcare data standards (HIPAA, EDI) a plus
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• Experience working in a rapidly evolving startup environment 
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

• Python, TypeScript, React, Kubernetes, Postgres, AWS, NATS, Airflow, Snowflake

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

The target salary range for this position is $285,000 - $315,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.