Gradient AI is looking to solve the problem of predicting risk more accurately, improving profitability, and automating underwriting and claims in the insurance industry using AI-powered solutions.
Requirements
- 7+ years of experience with data engineering & software architecture in an enterprise commercial setting
- Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration
- Strong experience with cloud technologies, specifically AWS
- Familiar with databases (Postgres, MySQL) and application development (Python, Java)
- Familiarity with orchestration tools (Airflow), big data processing tools (Databricks), and schema management tools
- Experience managing teams across multiple engineering disciplines, including both software and data engineering
- Experience transitioning from client-driven development priorities to product roadmap priorities
Responsibilities
- Grow, build, and lead a world-class engineering team
- Participate in high-level design decisions and execute them
- Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow
- Be a technical interface for our client implementation team and partners to implement clients
Other
- 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting
- A fun, team-oriented startup culture
- Generous stock options - we all get to own a piece of what we’re building
- Unlimited vacation days
- Flexible schedule that supports working from home
