Credit Acceptance

Sales

• Lead the Sales analytics function, including a team of Sales Analysts supporting regional and enterprise Sales leadership
• Develop and execute the Sales Strategy & Analytics roadmap in alignment with organizational priorities, Sales objectives, and business needs
• Provide strategic insights and recommendations to improve Sales performance, productivity, profitability, and field execution
• Support strategic planning by identifying performance opportunities, risks, trends, and growth levers across the Sales organization
• Deliver executive-level insights and recommendations that support organizational priorities, Sales initiatives, and growth objectives
• Monitor regional performance, business trends, and key Sales metrics to evaluate progress against goals and priorities
• Oversee the development and management of Sales dashboards, reports, scorecards, and performance views
• Ensure Sales leaders have access to timely, accurate, and actionable reporting that supports business reviews, market reviews, coaching conversations, and performance decisions
• Partner with Sales Leadership to define, track, and refine key performance indicators that align to business objectives
• Use KPI reporting to identify performance gaps, highlight trends, and support leadership action
• Lead analysis that supports improved profitability, resource allocation, market performance, and business outcomes
• Analyze performance patterns to support decisions in priority markets, underperforming markets, and high-growth markets
• Lead competitive intelligence and market analysis efforts to identify opportunities, risks, trends, and business implications
• Partner closely with Product, Marketing, Sales Leadership, and other business partners to ensure market insights are incorporated into planning and decision-making
• Collaborate with teams to align reporting, analytics, market intelligence, and technology priorities with broader business objectives.

Director of Sales Strategy, Analytics

• Develop and execute the Sales Readiness strategy in alignment with organizational priorities, Sales objectives, and business needs
• Translate Sales priorities, go-to-market initiatives, product launches, and process changes into clear readiness plans and field execution support
• Ensure Sales teams are prepared to execute strategic initiatives, new tools, updated processes, and Sales best practices
• Establish scalable readiness programs that reinforce learning and support consistent execution across the Sales organization
• Identify opportunities to improve seller productivity, field execution, and overall Sales performance
• Lead a team responsible for ongoing Sales coaching, field readiness, and Sales development
• Partner with Sales Leadership to identify capability gaps, execution challenges, and opportunities to improve Sales performance
• Develop readiness programs that strengthen seller knowledge, skills, confidence, and execution discipline
• Maintain content quality, consistency, and alignment with Sales priorities and company standards
• Monitor program performance using data, feedback, participation, adoption, and business impact indicators.

Director of Sales Readiness

DevOps Engineer

• Ensure the availability, reliability, performance, and security of enterprise database systems supporting Credit Acceptance applications
• Reduce operational toil through automation
• Partner with application, infrastructure, and data teams to build and operate modern database platforms
• Support data replication and migration initiatives
• Drive continuous improvements in reliability and efficiency
• Design and implement automated database provisioning and configuration management
• Develop Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible)
• Build self-service database capabilities and platform APIs
• Implement event-driven automation and auto-remediation workflows
• Define and manage Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
• Design and maintain high availability (HA) and disaster recovery (DR) architectures
• Monitor and optimize database performance, query efficiency, and throughput

Senior Database Reliability Engineer

Full-stack Engineer

• Design and develop software and improve existing code
• Write unit-tests and validate your software against acceptance criteria
• Apply team coding, documenting and testing standards
• Conduct impact analysis to proactively identify impact of a change within an application
• Participate in code reviews and communicate application changes
• Document code and projects so others can easily understand, maintain and support
• Debug the problems which arise in production and propose effective solutions
• Read and write design documents
• Learn the business process domain to better support the business
• Contribute to team's sprint commitments and actively participate in our Agile practices
• Contribute to continuous learning activities to improve design and code quality as well as to increase application domain knowledge
• Guide and aid less experienced software engineers

Software Engineer II – Employer of Record

Machine Learning Engineer

• Define and execute the strategic roadmap for predictive modeling and machine learning
• Lead cross-functional initiatives integrating analytics into business processes
• Oversee development, deployment, and monitoring of high-impact models
• Serve as a strategic advisor to senior leadership on data strategy and innovation
• Represent Predictive Analytics in regulatory, audit, and governance forums
• Foster partnerships across the organization

Director, Predictive Modeling, Machine Learning

• Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel
• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
• Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
• Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs.
• Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.

Senior Machine Learning Engineer, Manager

• Lead, coach, and develop a team of data engineers, providing clear direction, feedback, and career growth opportunities
• Foster a culture of ownership, accountability, and continuous learning
• Drive strong engagement through effective 1:1s, performance management, and team development planning
• Own the successful delivery of end-to-end data pipelines and platform capabilities across batch and streaming architectures
• Ensure high standards for data quality, scalability, reliability, and observability
• Partner with Product, Analytics, and Business teams to ensure delivery aligns with business needs
• Provide architectural guidance and technical direction across the data domain
• Ensure adherence to engineering standards, best practices, and design principles
• Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems
• Serve as the primary point of contact for stakeholders within the data domain
• Communicate progress, risks, and outcomes clearly to both technical and non-technical audiences

Senior Manager, Software Engineering – Data

Marketing Operations

• Work as a dedicated member of a globally distributed team
• Partner closely with business partners in the U.S. to design, build, and scale solutions
• Play a key part in expanding and optimizing our Adobe Experience Cloud ecosystem
• Support broader marketing technology capabilities and enable data-driven decision-making across the organization
• Partner with cross-functional teams to design, implement, and monitor marketing initiatives powered by AEP
• Support tagging strategies across web properties to measure user engagement, personalization, and performance
• Build and scale a best-in-class MarTech ecosystem
• Directly influence how we understand and engage with our customers
• Make a meaningful impact on both the organization and your career growth
• Contribute to Agile sprint planning and execution
• Support data governance and compliance efforts
• Ensure solutions are scalable, maintainable, and aligned with enterprise standards

Senior Marketing Technology Specialist

• Explore and apply advanced machine learning techniques, including not limited to large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.
• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
• Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
• Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs.
• Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
• Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams.
• Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization.
• Architect and implement enterprise-grade LLM-powered solutions, managing the full lifecycle from business requirements to production deployment, monitoring, and continuous optimization.

Staff Machine Learning Engineer

Engineer

• Serve as a key technical resource responsible for the advanced administration, engineering, and continuous improvement of the Microsoft 365 environment.
• Lead the design, configuration, and deployment of Microsoft 365 solutions across Exchange Online, SharePoint Online, Teams, OneDrive, Intune, and related services.
• Evaluate and recommend new Microsoft 365 tools, features, and capabilities to improve collaboration, productivity, and security for the organization.
• Collaborate closely with the Service Desk, infrastructure teams, and business stakeholders to ensure a seamless and high-quality end-user experience.
• Create and maintain thorough documentation for processes, procedures, configurations, and runbooks.
• Provide on-call and after-hours support for change management, maintenance, and critical troubleshooting.
• Mentor and guide less experienced engineers, sharing knowledge and fostering a culture of continuous learning and improvement.

Senior Collaboration and Productivity Engineer

Product Marketing

• Define and translate growth strategy into clear, actionable Sales plays
• Serve as a high-impact strategist connecting product value, market opportunity, and Sales execution
• Partner closely with Product Marketing and GTM Analytics to convert insights into Sales strategies
• Design Sales behaviors to deliver growth across key initiatives
• Ensure Sales strategies are operationalized effectively and executed consistently in the field
• Monitor adoption and identify execution gaps, risks, and inconsistencies

Senior Manager, Go-to-Market Growth Strategy

Executive Assistant

• Partner with and provide administrative support to the Executive Leadership Team (ELT), including SVP/VP leaders, to meet business needs
• Act as a liaison between the C-level executive, senior leadership, Board members, and internal/external partners
• Proactively manage the executive’s priorities, ensuring time, information, and resources are aligned with organizational goals
• Prepare executive briefing materials, decision memos, presentations, and follow-up actions for meetings and strategic engagements
• Anticipate needs and issues, identify risks, and provide recommendations to support executive decision-making
• Independently manage a complex, high-volume calendar, balancing competing priorities with business acumen and diplomacy
• Draft, edit, and refine executive correspondence, communications, and talking points
• Gatekeep and triage internal/external communications, escalating or resolving matters based on urgency, importance, and strategic alignment
• Ensure seamless coordination of executive workflows, operating rhythms, and organizational commitments
• Handle highly sensitive organizational, personnel, and financial information with absolute discretion
• Investigate issues, gather data, and provide executive-level recommendations or resolutions
• Represent the executive in addressing inquiries, disputes, or confidential matters with professionalism and authority
• Plan, organize, and execute executive-level meetings, Board sessions, strategic reviews, and leadership off-sites
• Own agenda development, briefing documents, presentations, and action-item tracking
• Coordinate complex domestic and international travel, ensuring all logistics align with executive preferences and business needs
• Lead and support cross-functional projects on behalf of the C-level executive, acting as project manager or liaison as needed
• Track progress on organizational initiatives, ensuring alignment with milestones, KPIs, and executive priorities
• Monitor deliverables from leadership partners and ensure follow-through on commitments
• Continuously improve processes, workflows, and tools within the executive office.
• Identify and resolve inefficiencies; implement best practices for documentation, communication, and coordination
• Provide mentorship or guidance to other administrative professionals across the organization, as appropriate

Application Engineer

• The Application Security Engineer is responsible for securing the software and applications that Credit Acceptance builds, buys, and operates.
• This role partners closely with engineering, product, architecture, and business teams to ensure that applications handling sensitive consumer, dealer, and loan data are designed, developed, and deployed in a secure manner.
• This position focuses on embedding security into the software development lifecycle by providing hands‑on technical guidance, performing threat modeling and application security reviews, defining secure design patterns and guardrails, and supporting engineering teams as they build and maintain modern web, mobile, API, and cloud‑based applications.
• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required.
• Partner with engineering and architecture teams to design and review application architectures for security, privacy, and regulatory compliance.
• Perform security reviews of applications and services at each stage of the SDLC, including design, code, and building pipelines.

Application Security Engineer II

Vice President

• Own the enterprise planning and forecasting operating model, including long-range planning, annual planning, and rolling forecasts
• Translate business strategy into driver-based models that connect operational activity to financial outcomes
• Ensure alignment across strategic priorities, operational plans, and financial targets
• Deliver accurate, forward-looking forecasts that enable confident decision-making
• Establish and lead the enterprise performance management framework, including KPIs, success metrics, and accountability models
• Deliver clear, actionable insights on performance drivers, risks, and opportunities
• Enable leadership to course correct through data-driven decision-making and transparency
• Ensure consistency and clarity in how performance is measured across the organization
• Own the enterprise reporting strategy, ensuring reporting is streamlined, scalable, and decision-focused
• Partner with Data and Technology teams to enable modern reporting and analytics capabilities
• Drive transformation toward automated, self-service, and insight-driven reporting environments
• Establish standardized approaches for sizing, prioritizing, and evaluating business initiatives
• Ensure transparent tracking of initiative performance against targets
• Provide executive visibility into progress, outcomes, risks, and return on investment

Vice President, Business Management, Performance

Security Engineer

• Partner with engineering and data science teams to design and review AI architectures, including agentic and multi‑agent systems, for security, privacy, and regulatory compliance.
• Perform security reviews of AI/ML systems, including model lifecycle, data pipelines, inference APIs, agent orchestration layers, and third‑party AI services.
• Identify and mitigate risks such as: Data leakage and model exploitation, Prompt injection and indirect prompt manipulation, Agent autonomy risks (over‑permissioned agents, unsafe tool use, uncontrolled action execution), Insecure model deployment and inference exposure.
• Support threat modeling and risk assessments for AI and agent‑driven workflows, assisting teams in implementing practical mitigations.
• Contribute to and operationalize AI and agentic AI security standards, guidelines, and secure design patterns used across the company.
• Evaluate AI platforms, agent frameworks, and vendors to ensure alignment with security, privacy, and compliance requirements.
• Support responsible AI practices related to explainability, oversight, auditability, and controlled autonomy, in collaboration with legal, compliance, and risk partners.
• Act as a trusted security advisor to teams adopting AI, LLM‑based agents, and workflow‑oriented AI systems.
• Participate in design reviews and working sessions focused on secure AI and agent deployment.
• Provide guidance on secure use of generative AI, internal AI platforms, and agent‑based tools interacting with company systems and data.
• Stay current on AI and agentic AI security threats, vulnerabilities, and best practices.
• Recommend improvements to tooling, processes, and controls to strengthen AI security posture.
• Contribute to internal documentation, training materials, and security enablement related to AI and agent usage.