
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
💰 $20M Series B on 2021-04
Artificial Intelligence • Insurance • SaaS
Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.
🕒 April 28
🇺🇸 United States – Remote
💵 $170k - $205k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
💰 $20M Series B on 2021-04
Artificial Intelligence • Insurance • SaaS
Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.
• 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
• 7+ years of experience with data engineering & software architecture in an enterprise commercial setting • 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting • Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration • Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams • 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.
• 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. • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. • Ample opportunities to learn and take on new responsibilities.
Apply Now🕒 April 28
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