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The Senior Software Engineer at Mindbody will develop software solutions, conduct system analysis, improve system reliability, and mentor junior engineers. Responsibilities include collaborating with product owners, facilitating communication within teams, writing tests, and ensuring code quality through peer reviews.

The Data Engineer will design, implement, and support data solutions, processing, and datasets for advanced analytics needs. Responsibilities include building data pipelines, employing ETL processes, and collaborating with various teams to ensure the integration of diverse data sources and alignment with best practices.

Lead a full stack, mobile-focused team to help ClassPass expand into new geographies and verticals. Recruit and manage a team of engineers, contribute to strategic direction and product decisions, and participate in engineering-wide initiatives. Ideal candidate has experience managing a team of at least 6 people and a passion for creating high-quality mobile applications.

Seeking a Marketing Analytics Manager to drive consumer acquisition and retention strategy through data-driven insights. Responsibilities include analyzing KPIs, developing reports, providing recommendations, and collaborating with cross-functional teams. Required skills include Excel, SQL, Python, Tableau, and knowledge of digital marketing metrics.

The Marketing Analytics Manager will drive consumer acquisition and retention strategies through data analysis. Responsibilities include monitoring B2C metrics, analyzing marketing campaign performance, maintaining reports and dashboards, providing recommendations based on data insights, and collaborating with cross-functional teams to support strategic decisions.

As a Senior Android Engineer, you will be a key member of a cross-functional team focused on creating new features for the ClassPass mobile apps. Responsibilities include collaborating with product & design, providing leadership to junior engineers, seeking feedback, writing technical documents, and staying updated on industry trends.

The Data Engineer focuses on designing, implementing, and supporting new and existing data solutions, data processing, and data sets to support various advanced analytical needs. Responsibilities include designing, implementing data pipelines, creating data structures, and building scalable data integration pipelines.