jobber
This role seeks a Data Scientist to ensure the reliability and accuracy of ML models at Jobber through rigorous validation, monitoring, and testing. Key responsibilities include designing evaluation frameworks, building regression test suites, and implementing Model Context Protocol (MCP) evaluations to protect business interests. The successful candidate will collaborate with MLOps and senior data scientists to maintain model integrity throughout the entire lifecycle.
Jobber is a cloud-based operations platform designed for home service businesses, offering tools to manage quotes, scheduling, client communications, invoicing, and payments from a single place. It includes a CRM, job pipelines, and mobile apps for field teams, enabling streamlined workflows and better customer experiences. The platform serves service industries such as cleaning, landscaping, HVAC, plumbing, electrical, and other home services, helping small businesses scale. Founded to help service providers professionalize operations, Jobber is used by thousands of businesses worldwide to grow and run more efficiently.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for jobber.
34% below the average for this role