6 days ago
Base Salary
$150k - $200k/yr
Responsibilities
- Own features end to end, including discovery, analysis, success metrics, development, launch, and impact measurement.
- Design, build, and modernize data models and ETL pipelines using dbt and Snowflake.
- Build, deploy, and monitor production ML models for recommendations, personalization, pricing, and marketplace density.
- Test hypotheses using data and statistical rigor.
- Write technical design documents and partner with engineers, data scientists, and product managers.
- Apply backend engineering practices including testing, CI/CD, code reviews, observability, and reliable deployments.
- Lead cross-functional projects and share knowledge across teams.
Requirements
- 5+ years of experience in software, data, or ML engineering or a similar field, including shipping and maintaining production ML models.
- Strong hands-on experience with dbt and Snowflake or comparable modern data-warehouse tooling at scale.
- Proficiency in SQL and Python.
- Strong grounding in statistics and experimentation, including model selection and tradeoff analysis.
- Backend engineering fundamentals in CI/CD, testing, deployment, and observability.
- Demonstrated ability to connect technical work to business outcomes and communicate clearly in writing and conversation.
- Experience with recommender systems, search and ranking, pricing and optimization, marketplace or location-aware modeling, workflow orchestration, or ML tooling is preferred.
Categories
Data EngineeringML Engineering
About ClassPass
ClassPass builds a subscription marketplace for fitness and wellness, letting consumers book classes at gyms, studios, salons, and spas using app-based credits. It sells memberships to individuals and corporate wellness programs to employers, and drives demand for partner venues through revenue-sharing bookings. Founded in 2013 in New York and acquired by Mindbody in 2021, it operates across multiple countries.