Teams at Gradient AI

Lead product strategy and execution for AI/ML-powered insurance solutions spanning underwriting, policy administration, claims, and risk management. Partner with clients, sales, service, engineering, and data teams to shape the roadmap, translate business needs into technical requirements, and guide products from ideation through launch. Present strategies to executives and clients, resolve complex business problems, and balance technical feasibility, customer impact, and business priorities.

Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.

Manage the post-sale client lifecycle for health insurance customers, including implementation, workflow design, dashboard analysis, ROI measurement, project management, and relationship building. Serve as the primary client contact while coordinating with Sales, Product, Data Science, and Engineering. Ensure clients successfully adopt and maximize the value of predictive analytics solutions through strong communication, documentation, and ongoing engagement.