Podium

Customer Success Manager

• Serve as the primary post-sales point of contact for our large Automotive dealerships using our AI products
• Act as the quarterback for a regional territory of our largest automotive customers, including 2–3 onsite dealership visits per week
• Serve as both a consultant guiding dealerships through their AI transformation and as the primary point of contact for inquiries, issues, and escalations
• Utilize in-depth product and industry knowledge to drive and increase adoption and utilization of podium products
• Proactively engage with customers during the renewal process to secure renewals and drive customer retention.
• Regularly conduct check-ins to assess customer satisfaction, identify opportunities for improvement, and offer solutions to optimize their usage
• Proactively anticipate and address potential challenges to ensure a seamless customer experience.
• Develop strong relationships with customers and become a trusted advisor.
• Work cross-functionally to relay product feedback

National Customer Success Manager – Automotive AI

Full-stack Engineer

• Developing and maintaining robust, scalable systems that have a direct impact on the success of our products and the businesses we serve, with a focus on AI-driven solutions.
• Collaborating across teams, including Engineering, Sales, and Customer Support, to identify needs and create innovative AI solutions.
• Continuously improving the platform by implementing new AI features and technologies that enhance the user experience.
• Contributing to a culture of learning, innovation, and continuous improvement, while staying ahead of trends in AI.

Senior Software Engineer

Regional Customer Success Manager – Automotive AI

• Build and scale a Voice AI platform capable of handling hundreds of thousands of calls per month with high reliability and low latency.
• Design, develop, and maintain services and APIs that power real-time conversations.
• Drive the full lifecycle of software development—from architecture and implementation to deployment and ongoing reliability.
• Prototype quickly, iterate based on real-world performance, and optimize for both scale and customer experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production.
• Collaborate with engineers, product managers, and designers to deliver end-to-end features that power critical business outcomes.

Senior Software Engineer, Voice AI

Data Engineer

• Work with Snowflake, Fivetran, and dbt to ensure clean, modeled, and well-documented data.
• Support the infrastructure that generates key insights that support our business
• Write production-grade code (Python or Elixir) to support data processing, automation, and integrations
• Contribute to architectural decisions for data systems and platforms.
• Work with distributed cloud infrastructure, preferably AWS
• Monitor and optimize data infrastructure to improve scalability, cost-efficiency, and resilience.
• Design, build, and maintain robust, scalable data pipelines.
• Partner with stakeholders to ensure data ingeston, reliability, performance, and accessibility.