Engineering Manager, Rad AI

• 7+ years of engineering experience with a minimum of 2+ years of engineering management experience
• Experience leading cross-functional product engineering teams focused on shipping with quality
• Ability to understand KPI and business metrics, as well as the ability to identify and scope product feature work to maximize the business impact
• Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members
• A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward
• Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience
• Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly
• Have a philosophy of valuing each team member and understanding individual strengths and areas for growth
• Ability to be hands on if needed
• Demonstrated familiarity with data engineering best practices and tools (e.g., Airflow, dbt, Kafka, or Spark) to help oversee data pipelines and data transformation work
• Experience working with cloud-based data warehouses or data lakes (e.g., AWS Redshift, Snowflake, BigQuery) and an understanding of data modeling and ETL/ELT processes
• Comfortable with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) to support reliable data infrastructure

Desirable

• This role will lead our Data Engineering team to support our rapid client growth and projected expansion in the year ahead.
• In this role, you will play an instrumental part in the construction and maintenance of data collection systems, pipelines, and management tools, as well as managing the data engineering team.
• As the authority over the construction and continued operation of Rad AI data systems
• Report into our Director of Engineering to manage a team of software engineers at a variety of levels
• Cross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features
• Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements
• Invest in individual growth, enabling your team to deliver with quality and confidence
• Collaborate with senior leadership to chart out a strategic direction based on vital business metrics
• Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered