Credit Acceptance

Content Creator

• Concept and develop creative built for engagement, retention, and performance
• Generate AI-driven imagery and video using tools such as Adobe Firefly, Freepik, Google Flow, and Higgsfield
• Develop and document repeatable AI-assisted production workflows
• Evaluate new AI tools as they emerge
• Stay ahead of social platform trends, algorithm shifts, and format evolutions

Video & AI Content Creator

Product Manager

• Advocates for the end user and stakeholder by empathizing and understanding user needs, remaining focused on desired outcomes, and becoming the domain expert
• Analyzes data through the lens of the customer and identifies goals, metrics/key performance indicators, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings, leading to continued improvement in owned metrics/key performance indicators
• Creates an environment where the entire team is immersed in customer-first thinking and turns customer insights into actionable strategies and priorities across products
• Takes ownership of business results and being a day-to-day decision maker, including communicating with and influencing key partners and stakeholders to deliver winning product experiences and outcomes
• Conducts and monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class
• Focuses on innovation and the disruption of status quo to identify improvements and new opportunities to gain a competitive advantage
• Ensures the team is utilizing data with the right metrics to drive customer outcomes and ensures the right analysis is being done to prioritize appropriately
• Effectively collaborates with technical and design teams to use the best modern technologies and deliver amazing products to market efficiently with quality
• Has a deep understanding of product objectives and priorities and translates product concepts into user stories, epics, and other appropriate product deliverables while identifying and mitigating risks
• Owns their product and is responsible for the delivery of that product and associated projects on time, on budget, on strategy, and with a superior level of quality and performance.
• Proactively learns and recommends new technologies as a result of actively participating in technology/product forums as a product leader
• Serves as the visionary to set vision and direction and champions high-impact outcomes; acts as a bridge between strategy and execution to translate plans into action, iterating as necessary
• Champion of the end-to-end platform and is an expert in the systems and users they support; uses this knowledge to generate new ideas and support development, launch, and adoption of these new ideas
• Drives continuous improvement of the product management process by documenting and reviewing processes and procedures
• Consistently inspires, motivates and develops others beyond their immediate team and achieves high quality results through others, including cross-functional or virtual teams
• Acts as a role model and provides peer coaching to develop other Product Managers

Senior Product Manager, Demand Activation

• Advocates for the end user and stakeholder
• Analyzes data through the lens of the customer
• Creates an environment where the entire team is immersed in customer-first thinking
• Takes ownership of business results
• Conducts and monitors research and competitive landscape
• Focuses on innovation and identifying improvements
• Ensures the team is utilizing data with the right metrics
• Effectively collaborates with technical and design teams
• Owns their product and is responsible for the delivery
• Proactively learns and recommends new technologies
• Drives continuous improvement of the product management process
• Consistently inspires, motivates, and develops others

Senior Product Manager, Deal Engine

Manager

• Prospecting automotive dealerships to enhance business development outcomes
• Account management & client services to build a strategic and consultative relationship with customers
• Running a territory with entrepreneurial drive and dedication similar to a small business owner

Market Area Manager

Technical Product Manager

• Champion features and strategies that are scalable across domains and offer high business impact with minimal development
• Define and document happy path diagrams for specific personas and scenarios
• Collaborate with cross functional teams including business partners, Product Managers and designers to define product requirements, direction and clarity
• Drive technical innovation and improvements of the design and architecture of software systems towards leading edge technologies and practices
• Become an expert in all domains to better support the business and align technologies strategies with the business outcomes
• Work with the engineering leadership team to develop and execute on the company’s technical and business strategy
• Incorporating and leading with AI strategies and cutting edge best practices
• Perform technical due diligence and architectural assessments of third-party technologies and solutions
• Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions
• Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class software systems
• Lead continuous learning and process improvement activities to improve design and overall engineering practices
• Grow talent by participating in hiring and mentoring team members

Technical Product Manager, Data

Analyst

• Independently lead strategic analyses that inform business and go-to-market (GTM) strategy, including product launches, customer segmentation, channel strategy, and market expansion
• Translate ambiguous business questions into structured problem statements, hypotheses, and analytical workplans—without relying on detailed instructions
• Build and maintain financial, strategic, and scenario models to evaluate new opportunities, risks, and trade-offs
• Analyze large, complex datasets to uncover insights related to customer behavior, portfolio performance, channel effectiveness, and growth opportunities
• Partner with cross-functional teams to shape the direction of analysis, not just execute predefined requests
• Develop clear, insight-rich recommendations that are grounded in data, commercial judgment, and business impact
• Create consulting-style, executive-quality PowerPoint presentations that use data-driven storytelling to influence decisions and align stakeholders
• Define success metrics and KPIs for strategic initiatives and support ongoing performance tracking
• Contribute meaningfully to quarterly and annual strategic planning cycles
• Act as a trusted thought partner to senior stakeholders, bringing a strong point of view supported by analysis

Senior Strategy Analyst

Machine Learning Engineer

• Design, develop, and maintain statistical and machine learning models that support high-impact business decisions across pricing, credit risk, and other areas
• Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements
• Develop complex SQL and analytical code to extract, transform, and validate large, multi-source datasets used for modeling, reporting, and decision support
• Perform ad hoc and exploratory analyses to address business questions, evaluate trade-offs, and inform policy or strategy decisions
• Translate high-level business objectives into analytical tasks, technical specifications, and modeling approaches
• Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment

Senior Analyst, Predictive Analytics, Machine Learning

People Operations

• Act as a strategic partner and advisor to assigned executive and senior leadership regarding all things people.
• Lead workforce planning, organizational design, and role clarity to support growth and efficiency.
• Monitor organizational health and identify risks related to structure, leadership capability, and talent depth.
• Guide leaders through change, transformation, restructuring, operating model evolution, and technology-driven shifts including automation, AI, and digital initiatives that impact roles, skills, and workforce planning.
• Partner with HR Centers of Excellence (COEs) to deliver integrated, business-aligned solutions.
• Use data to drive key insights that drive actions that produce meaningful outcomes for the business.
• Coach leaders on leadership effectiveness, team performance, and decision-making.
• Provide guidance during periods of change, ambiguity, and increased performance expectations.
• Monitor engagement, retention, and performance trends and drive actions to address gaps.