Job DescriptionEpsilon 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.
Responsibilities- 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.
Qualifications- 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
Base Salary: $115,500.00 - $214,500.00
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
The application deadline for this job posting is 07/13/2026.
Additional Information#LI-NK1
