Gradient AI

Account Executive

• Build your own book of business from the ground up with a strong pipeline of prospective customers through direct prospecting, relationships, and referrals.
• Lead all aspects of the consultative sales process including new business development, client research, objection handling, demoing, closing, and follow up.
• Draft statements of work and pricing proposals.
• Master our value proposition today and as the competitive landscape evolves.
• Hit, achieve, and exceed monthly and annual sales targets.

Sales Executive

Consultant

• Engage directly with clients to provide advanced analytical support.
• Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
• Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals.
• Analyze data using internal tools to evaluate pricing risk and provide recommendations.
• Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
• Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
• Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
• Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
• Help quantify ROI and performance improvements tied to our AI products.

Health Data Consultant

Data Engineer

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA).
• Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data.
• Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications.
• Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms.
• Ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing, including translating complex medical and biological concepts into actionable data requirements.

Sales Executive

Health Data Consultant

Senior Data Engineer