Jobs at BizzyCar

Own and grow BizzyCar’s AI-powered automotive retail products. Responsibilities include developing roadmaps, gathering requirements, coordinating software development, commercializing solutions, designing rapid-cycle tests, managing KPIs, and representing the company with customers and partners. The role requires strong product management experience in B2B SaaS, generative AI proficiency, analytical skills, and familiarity with data science, machine learning, and AI.

Own end-to-end SaaS implementations for automotive dealerships, including discovery, configuration, data validation, troubleshooting, training, go-live, hypercare, documentation, and escalation management. Serve as the customer-facing subject matter expert for AI-enabled products, manage implementation timelines and stakeholders, support adoption, and relay field feedback to product and engineering teams. The role is hybrid and requires 50–70% travel to client dealerships.

Own the full lifecycle of strategic national enterprise accounts with a focus on retention, renewals, and expansion. Build multi-threaded relationships, execute account plans and QBRs, prospect and close new rooftops, manage renewals and forecasts in CRM, coordinate cross-functional support, and meet revenue, renewal, and expansion quotas while traveling approximately 50%.

Lead technical onboarding for new customers: run kickoff calls, configure integrations (DMS and schedulers), process historical data, troubleshoot scheduling issues, run tests, launch rooftops, document setups, and hand off to Customer Success within a few days to three weeks.

Manage technical onboarding for new customers: run kickoff calls, configure integrations with DMS and schedulers, process historical data, run tests, troubleshoot scheduling, document procedures, and hand off to Customer Success to enable go-live.

Lead end-to-end dealer implementations: configure integrations, validate data flows, train non-technical staff, manage timelines and stakeholders, troubleshoot live issues, write runbooks/SOPs, and relay field feedback to product and engineering.

Manage technical onboarding for new customers: run kickoff calls, configure integrations with DMS and scheduling tools, process historical data, schedule tests, troubleshoot scheduling errors, document setups, and hand off completed configurations to Customer Success to enable go-live within days to weeks.

Own end-to-end dealer implementations for an AI-driven SaaS product: configure integrations, validate data flows, train non-technical staff, manage go-live timelines and stakeholders, troubleshoot live issues, write runbooks/SOPs, and route field feedback to product and engineering.