Jobs at Bree

Design and implement infrastructure solutions for reliable, scalable data-intensive systems, optimize PostgreSQL databases, and enforce Infrastructure as Code best practices.

Own full-cycle technical recruiting for engineering and product roles: source passive candidates, build scalable hiring processes (with AI), manage candidate experience, provide data-driven talent insights, and strengthen employer brand.

The Chief of Staff/BizOps Lead will bridge strategy and execution, enhance team rhythm via OKRs, streamline processes, and leverage data-driven insights to optimize operations. Responsibilities include managing special projects and translating complex problems into actionable plans.

As a Product Engineer at Bree, you will build full-stack features using a TypeScript/Node serverless stack and React Native, focusing on delivering value quickly and iteratively. You’ll collaborate closely with design and product teams to enhance customer outcomes while managing engineering tradeoffs effectively.

The Senior Product Designer will lead end-to-end design efforts for Bree's mobile and web products, collaborating with teams to ensure usability and improve user experience.

The role involves managing OKR planning, bridging gaps between teams, optimizing processes, and leveraging data to drive decision making and project execution.

The Content Creator will produce short-form videos for paid ads and organic social media, experiment with creative formats, and pitch new concepts, focusing on building Bree's presence on platforms like TikTok and Instagram.

As a Creative Strategist, you'll draft production-ready briefs, manage ad projects, source creators, and collaborate on creative performance insights while maintaining brand guidelines.

As Creative Lead, Growth, you will manage a creative team and use data to drive performance in paid social campaigns, ensuring high-quality outputs and effective creative strategies.

The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.