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 technical operations supporting critical applications, infrastructure, internal and external helpdesks, and major IT initiatives. Partner with DevOps and SecOps on cloud infrastructure, security, monitoring, logging, incident management, SLA compliance, and alerting. Establish operational metrics, staffing coverage, escalation processes, and reporting while leading and mentoring a high-performing team in a growing SaaS environment.