Software Engineer II, User Targeting

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU’LL DO

We’re looking for a Software Engineer II to join the User Targeting team. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product.

You will build and own features in a complex, high-scale segmentation system that underpins our entire product offering. You’ll work on new segmentation features, help improve performance and cost, and grow your expertise in large-scale data systems. Your responsibilities will include:

• Design & Build: design and implement features across our Ruby on Rails backend and React frontend, from design review through production rollout
• Own Features: take ownership of medium-sized projects. Break down the work, set delivery dates, and hit them
• Work with Data at Scale: write and tune queries against MongoDB and ClickHouse, and learn how segmentation performance and cost change with data volume
• Collaborate Cross-Functionally: work closely with product managers, designers, and other engineering teams to clarify requirements and deliver features that meet customer needs
• Maintain & Evolve: write thorough automated tests, review teammates’ code, and take part in the on-call rotation to keep our systems stable and high-quality

The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team’s ability to deliver high-quality results more efficiently.