We are seeking candidates with previous experience in auto loan refinancing. In this role as a Senior Loan Advisor you will be handling inbound calls and warm leads (no cold calling!), consulting with and assisting customers in refinancing their auto loans. Leveraging a consultative sales approach, you will advise customers on the purchase of additional protection products including vehicle protection services and other offerings Provide customers with a thorough explanation of the terms of their loans, as well as aftermarket products and extended service contracts Act as a product sales expert, maintaining elevated product sales attachment goals and expectations Effectively manage and maintain a large pipeline of prospective customers, and maintain acceptable levels of conversion Conduct business in an ethical and professional manner, in congruence with our lender guidelines, finance laws, and internal compliance guidelines Process finance deals accurately and fairly through financial sources to secure funding Perform needs assessments, overcome objections and manage the expectations of customers Other duties may be assigned Hours This role will primarily work within normal business hours which are currently 7AM - 7PM (MT), Monday through Friday (hours of operation subject to change in the future). In addition, you will be required to work at least one Weekend shift (Saturday or Sunday) every four weeks, during the hours of 8AM to 5PM (MT). In exchange, you will receive a flexible day off to make up for working the weekend shift.

We are seeking an AI Software Engineer who will design and build innovative software solutions for the food-service industry by leveraging modern web technologies (React/Vue, TypeScript), Python data transforms, and AI/ML capabilities. Work across the full stack - architecting data pipelines, designing ontologies, building web applications and APIs Collaborate with data scientists and various stakeholders to deliver impactful products in a rapidly evolving technical landscape Your impact: Design, build, and maintain solutions in a mix of Python and Typescript codebases, in combination with a low-code/no-code environment Develop web applications using React or Vue with TypeScript and component libraries, focusing on clean architecture and reusability Build and maintain RESTful APIs with proper error handling, validation, authentication, and security best practices Implement data retrieval and transformation pipelines using Python/Pandas from relational databases (MySQL, PostgreSQL) Develop data ontologies and maintain relational data architecture in collaboration with a team of data scientists Design efficient data flows, considering cost and performance tradeoffs with big data Collaborate with various stakeholders to produce well-designed technical solutions, clarifying ambiguous requirements and making informed technology/design decisions aligned with user needs Write maintainable, well-documented code; participate in code reviews and adhere to team development standards Deploy and troubleshoot solutions in multiple environments (Docker, AWS, etc.) Stay current with emerging AI technologies and evaluate tools (OpenAI, Anthropic, Google) for product enhancement Rapidly learn and adopt new technologies and frameworks as project needs evolve Collaborate with data scientists on AI/ML algorithms for trend prediction, issue detection, and data categorization Integrate LLM-powered features and ML models into product workflows

• Conduct comprehensive research on the payments ecosystem and perform market analysis in the international remittances and payments industry across key regions. • Design and implement effective lead-generation strategies. • Create engaging, customized presentations to communicate Remitee's value proposition to prospective clients. • Support active management of existing client accounts by identifying opportunities to improve service and deepen relationships. • Develop strategies to enhance the customer experience and strengthen long-term relationships. • Work closely with Commercial, Ops, Tech, Legal & Compliance, and Treasury teams to ensure smooth client onboarding and service delivery. • Leverage internal data sources to extract insights and prioritize service improvements. • Use analytics tools (e.g., Power BI, SQL) to produce reports, identify trends, and guide decision-making.

Health-E Commerce is seeking a Data Engineer to drive the evolution of our modern data platform. As a key member of our centralized Data & Analytics team, you will oversee the design, development, and optimization of data pipelines and infrastructure that power analytics, reporting, and machine learning across the organization. Reporting directly to the Lead of Data Engineering, you will have a direct impact on day 1 for all of our major data pipelines supporting a broad array of use cases. You’ll collaborate closely with Analytics Engineers, Data Scientists, and cross-functional stakeholders in Marketing, Sales, Finance, and Product to ensure our data systems are scalable, reliable, and aligned with business goals. Build and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms. Own the ingestion and integration of new data sources, ensuring they are modeled for downstream analytics, reporting, and machine learning use cases. Partner with Analytics and Business teams to define requirements and deliver a robust internal data mart that supports self-service reporting and advanced analytics. Collaborate with Data Science to deploy and maintain machine learning models in production, including MLOps, monitoring, and governance. Implement and enforce data quality, observability, and governance standards across all pipelines and data assets. Drive innovation and efficiency by identifying opportunities to improve data architecture, tooling, and team processes. Support strategic initiatives through data-driven insights, ad hoc analysis, and cross-functional collaboration.