You will own the production infrastructure and operational lifecycle for AI and machine learning models, ensuring they are reliable, scalable, and performant. This includes building deployment pipelines, monitoring model health, and managing generative AI workloads in collaboration with the U.S.-based data science team.
You will lead the development of AI and machine learning capabilities, owning modeling approaches from problem definition through production release. You will also partner with product and engineering teams to evaluate technical feasibility and ensure AI solutions deliver measurable customer value.
Manage a portfolio of dealership clients to drive software adoption, retention, and measurable business outcomes. Act as a strategic partner by analyzing performance data and providing actionable insights to dealership leadership.
The Manager, Enterprise Client Success will lead a team to drive gross and net revenue retention while developing strategies for high-value customer relationships. They are responsible for defining the enterprise customer success model, managing complex renewals, and utilizing data to ensure measurable business value for clients.
