Engineering Manager

• We are currently seeking an Engineering Manager to join Addepar’s Data Platform! In this role, you will directly contribute to a global platform used by over half the company every day for shipping data & AI products at scale.

• You’ll be expected to be hands-on: building services, providing commentary and insight on architecture, and working daily with a range of engineering & product stakeholders to improve velocity and enable platform capabilities that allow Addepar to be the ultimate data & AI platform for finance.

• Additionally, you’ll manage a global team with a mix of experience and help them grow and be productive.

• Work on greenfield projects changing what is possible for a lakehouse architecture to do for improving velocity & shipping products.

• Build & own entire services end-to-end that can scale at the enterprise level Addepar serves.

• Help architect and contribute to the next generation interface onto our platforms to enable seamless development with agentic AI.

• Help support our global operating model for data & infrastructure across Addepar’s broader platform.

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar.

• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world.

• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule.

• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy.

• Learning & Development Allowance: Your continued growth and development are important to us.

• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance.

• Deep technical knowledge of Java or Python, and datastores like DynamoDB, Postgres, MySQL, etc.

• Deep experience working with cloud infrastructure directly with infrastructure as code (e.g. Terraform) on AWS.

• Knowledge of systems design & distributed processing through technologies such as Apache Spark or Databricks / Snowflake is a huge plus.

• Bachelor’s degree in Computer Science or equivalent experience.

• Knowledge on messaging technologies like Kafka / AWS Kinesis or similar is a plus.

• At least five years of experience.