The Strategy and Operations Lead will drive strategic initiatives, analyze data, and support decision-making processes for operational improvements. Responsibilities include data analysis, reporting, market research, and strategic planning.

The Strategy & Operations Analyst will execute high-impact strategies for clients, owning AI-based strategies, driving initiatives, and measuring business outcomes.

The Product Marketing Manager at Prodigal will create and own the marketing narrative for AI agents, translating technical nuances into market strategies. Responsibilities include cross-functional alignment, go-to-market execution, and gathering market feedback to influence product development. The role requires strong communication skills and a deep understanding of AI technologies.

As an Agentic Vision Manager, you'll develop product narratives for AI agents, ensure market alignment, and drive go-to-market strategies while collaborating with engineering and product teams.

As a Strategy & Operations Analyst, you will own AI-driven strategies for clients, leveraging data insights to improve collections and recoveries while ensuring measurable business impact.

The Machine Learning Engineer will focus on rapid prototyping, applying AI to business problems, managing complex datasets, and improving models through experimentation.

As a Data Engineer at Prodigal, you will design and manage data pipelines, turn raw data into reliable assets, and support AI/ML initiatives.

As a Senior Software Engineer, you will design and build infrastructure for the Prodigal Intelligence Engine, integrating data across systems for AI agents, ensuring real-time decision-making and system reliability.

The Mid-Market Account Executive will build sales pipelines, manage customer relationships, drive revenue growth, and contribute to sales strategies for Prodigal's AI solutions.

As a Product Engineer, you will design, code, and deploy AI applications for consumer finance, focusing on backend engineering while collaborating with ML experts.

As a Business Development Intern, you'll engage in outbound prospecting, execute marketing campaigns, qualify leads, and manage CRM in Salesforce while collaborating with multiple teams.

The Senior Machine Learning Engineer will design, develop, and deploy ML and Generative AI solutions, ensuring high performance and reliability, while leading collaboration efforts with cross-functional teams.

The AI Implementation Consultant will manage project delivery, customer onboarding, and user adoption, ensuring timely implementation and excellent customer service, while adapting to changes and collaboration with cross-functional teams.

Lead the technical direction for AI agents in loan servicing, focusing on building low-latency conversational systems and overseeing architecture and team mentorship.

Lead the development of machine learning products by driving technical direction, designing data pipelines, and collaborating with teams to innovate solutions in consumer finance.