Senior Manager, Software Engineering

Epsilon is looking for a Senior Manager, Software Engineering to lead a high-impact team building core capabilities for Epsilon Clean Room, our privacy-first data collaboration platform. In this role, you will lead a team of 8-12 engineers and contractors, shape technical direction, partner closely with product and architecture leaders, and help deliver scalable solutions that enable secure, data-rich collaboration for enterprise clients.

• Lead, coach, and develop a team of full-time engineers and contractors, providing clear direction, regular feedback, and support for career growth and performance.
• Manage team capacity, delivery planning, and execution across a strategic product area, ensuring the team is set up to deliver high-quality outcomes against business priorities.
• Partner with product management, architecture, and cross-functional stakeholders to define technical direction, align roadmaps, and deliver customer-facing capabilities for a data-intensive platform.
• Guide the design and delivery of full-stack and data-intensive systems using technologies such as Databricks, Spark, and cloud-native services.
• Hire and onboard strong engineering talent, build an inclusive and accountable team culture, and effectively lead a blended organization of employees and contractors.
• Operate as a player-coach by reviewing architecture and code, removing technical blockers, and contributing directly when the situation calls for it.
• Raise the bar on engineering quality, operational excellence, and delivery discipline through strong design practices, observability, and continuous improvement., * Experience leading software engineering teams in a product environment, including direct people management responsibilities such as coaching, performance management, and team development.

• Experience leading teams that build modern software platforms spanning application development, distributed systems, and large-scale data processing.
• Hands-on experience with big data and data engineering technologies, including Databricks, Spark, and large-scale processing frameworks.
• Experience building and operating cloud-based platforms, with strong judgment around scalable architecture, reliability, and performance.
• A player-coach approach with strong communication skills, sound engineering judgment, and the ability to build trust with both senior partners and engineering teams.

Technology Environment

• Full-stack applications, backend services, APIs, and customer-facing product experiences
• Databricks, Spark, and large-scale data processing platforms
• Cloud infrastructure across AWS, Azure, and GCP
• Modern engineering practices including observability, CI/CD, and distributed system design