Software Engineering Manager, Data

Role overview A technical leadership role managing a 12-person multidisciplinary Data team spanning data engineering, analytics engineering, data science, machine learning engineering, and data support within a commerce media infrastructure company. The position combines hands-on technical guidance with people leadership, setting direction for the data platform while partnering with Engineering, Product, and go-to-market teams. The role reports to the Director of Data & Platform and is remote within the U.S.

Responsibilities - Lead, coach, and develop a multidisciplinary team across data engineering, analytics engineering, data science, machine learning engineering, and data support. - Set the technical direction for the data platform, improving scalability, reliability, maintainability, and usefulness across the organization. - Increase automation and self-service while reducing manual workflows and recurring operational work. - Partner with Engineering and Product to integrate data, analytics, and machine learning capabilities into customer-facing products and production systems. - Ensure go-to-market teams have timely access to accurate, actionable data, while turning recurring requests into durable, scalable capabilities. - Establish clear priorities, ownership, and delivery practices across platform investments, product work, analytical needs, and operational support. - Guide architectural decisions and technical tradeoffs across data pipelines, analytics systems, production models, internal tooling, and data services. - Build a healthy team through clear expectations, direct feedback, career development, thoughtful hiring, and cross-discipline collaboration.

Requirements - Experience managing a technical team across data engineering, analytics, data science, machine learning, or related software engineering disciplines. - Technical depth to assess system designs, review code and implementation approaches, and provide credible guidance to experienced engineers and data practitioners. - Working fluency across modern data platforms, data modeling, pipelines and orchestration, analytics systems, ML lifecycles, cloud infrastructure, and production software practices. - Track record of improving technical platforms, automating manual processes, and building systems that scale with the business. - Experience managing a mix of foundational platform work, product development, stakeholder-driven requests, and operational responsibilities. - Strong judgment on when to build reusable capabilities versus solving immediate business needs. - Experience managing performance, supporting career growth, and developing senior technical individual contributors. - U.S. core business hours availability and willingness to travel for company meetings.

Nice to have - Background in fintech, payments, card-linked offers, loyalty, or other transaction-intensive products. - Experience operating production ML systems or integrating models and decisioning into customer-facing products. - Experience with high-volume batch and real-time data systems. - Familiarity with Databricks, dbt, AWS, Kubernetes, and Terraform.

Benefits and work setup - Remote-first U.S. position with pay range of $180,000–$220,000 USD. - Flexible PTO with a minimum of one day off per quarter and ten days per year. - 11 federal holidays observed, plus additional days for Black Friday and Christmas Eve. - Health, dental, and vision insurance. - 401(k) with employer match. - Coworking space and WFH setup reimbursement. - Company offsites for planning, team-building, and networking.