The Senior Manager serves as a strategic finance partner to executive leaders, overseeing operating expense budgets and providing financial insights to support decision-making. They are responsible for leading budget governance, managing financial planning processes, and coaching direct reports to ensure alignment with company strategy.
The Executive Assistant provides high-impact, strategic, and confidential support to C-level executives to ensure maximum operational effectiveness. This role manages complex priorities, acts as a liaison between leadership and stakeholders, and leads cross-functional projects.
The Senior Manager will lead customer research and segmentation, translating consumer behaviors into actionable insights for the enterprise. They will champion an AI-first approach to accelerate insight generation and present strategic findings to executive leadership.
The Senior Director will lead the marketing insights engine by unifying consumer, competitive, and dealer data to drive strategic decision-making. They will also serve as a key advisor to the CMO, overseeing long-range planning, performance dashboards, and the development of a high-performing analytics team.
The Director will own the customer loyalty and retention strategy, mapping the customer lifecycle to identify key moments for engagement. They will lead a high-performing team to develop programs that reward customer behavior and drive satisfaction across the enterprise.
The Product Marketing Lead will develop and execute go-to-market strategies for a portfolio of pricing and transaction-enablement products. This role involves partnering with cross-functional teams to drive customer adoption, engagement, and revenue growth through data-driven insights and compelling value propositions.
The Dealer Enrollment Specialist is responsible for reviewing and processing dealer enrollment packages and change requests in accordance with company policies. They also provide support to the sales team and ensure all dealer documentation is accurate, legible, and compliant.
The Technical Product Manager will define and deliver scalable data solutions while aligning technology roadmaps with business goals. They will act as a technical leader and strategic advisor, collaborating across teams to drive innovation and ensure architectural feasibility.
The Vice President of FP&A provides strategic financial leadership by overseeing budgeting, forecasting, and long-range planning to support executive decision-making. This role also drives the evolution of financial systems, analytics, and AI-enabled decision support capabilities to improve operational performance.
The Staff Software Engineer will design, build, and scale high-quality software solutions while providing technical leadership and mentoring to the engineering team. They will drive architectural decisions, ensure coding standards, and collaborate with global partners to deliver innovative solutions that support business objectives.
The Staff AI/ML Solutions Engineer serves as the single point of contact for assigned domains, owning the end-to-end product lifecycle from problem framing to delivery and continuous improvement. They lead discovery, define product roadmaps, and make defensible build-versus-buy decisions while partnering with cross-functional teams to drive measurable business value.
The Staff Business Analyst will lead data strategy, governance, and standards while partnering with cross-functional teams to design scalable data solutions. They will drive advanced analytics and insight generation to inform executive decision-making and ensure data quality across the enterprise.
Lead a team in developing and maintaining BI dashboards, reports, and data models to provide actionable insights. Collaborate with cross-functional stakeholders to align data initiatives with business goals and drive the adoption of advanced analytics.
The Vice President of Accounting and Financial Reporting provides strategic leadership for the accounting team, overseeing financial statements, SEC filings, and SOX 404 compliance. This role also drives finance technology strategy and mentors a team of managers and analysts to ensure accurate financial performance reporting.
Lead and develop a team of Directors of Sales to drive regional performance and execute market-level strategies. Oversee P&L performance, strengthen dealer relationships, and ensure consistent execution of company priorities across assigned districts.
Design, build, and scale cloud-based data platforms and pipelines to support critical business insights. Provide technical leadership by mentoring engineers, driving architectural direction, and collaborating with cross-functional stakeholders.
Design and build production-ready AI capabilities and agentic systems to improve enterprise workflows for dealers and consumers. Lead technical deliverables, conduct code reviews, and mentor junior engineers within an Agile framework.
Design, develop, and monitor statistical and machine learning models to support strategic business decisions across credit risk, collections, and marketing. Translate complex business challenges into analytical solutions and communicate findings to stakeholders to deliver measurable value.
Lead the design and deployment of predictive models for credit risk, collections, and business operations. Mentor junior data scientists and present strategic insights to senior cross-functional stakeholders.
Lead the vision and strategic execution of AI-powered solutions to drive long-term value across the business. Manage a team of ML engineers to design and deploy scalable, production-grade AI/ML systems and inference pipelines.
Define and execute the strategic roadmap for predictive modeling and machine learning across credit risk, servicing, and collections. Serve as a strategic advisor to senior leadership and represent predictive analytics in regulatory and governance forums.
Lead the design, development, and scaling of AI-powered solutions and enterprise-grade LLM systems to solve complex business challenges. Partner with stakeholders to define strategic roadmaps and mentor other machine learning engineers on design and coding standards.
Lead the design and deployment of advanced predictive models for credit risk, collections, and operations. Drive the strategic roadmap for machine learning and serve as a technical advisor to senior leadership.
Lead a team of data engineers to design and deliver scalable data platforms, pipelines, and models across batch and streaming architectures. Act as a bridge between business strategy and technical execution while fostering a high-performing engineering culture.
Provide technical leadership for core infrastructure platforms focusing on compute, containerization, virtualization, and storage. Design and implement scalable, automated infrastructure solutions using an Infrastructure as Code mindset to reduce operational toil.
Operate and tune enterprise security tools including EDR, SIEM, and WAF to protect organizational assets. Build automation playbooks and CI/CD pipelines to streamline security operations and incident response.
The Senior Product Manager acts as a customer-centric advocate responsible for enhancing the end-to-end experience to drive revenue growth and customer satisfaction. They translate product concepts into actionable deliverables and lead the delivery of products on time and on strategy.
The Senior Product Manager acts as a customer-centric advocate responsible for enhancing the end-to-end user experience to drive revenue growth and customer satisfaction. They translate product concepts into actionable deliverables and lead cross-functional teams to deliver high-quality products on time and on budget.
The Senior Data Modeler designs and maintains high-quality logical and physical data models within a Databricks lakehouse environment. This role collaborates with data engineers and business stakeholders to support analytics, reporting, and AI-forward data practices.
The Senior Analyst will design, develop, and maintain complex statistical and machine learning models to support business decisions in pricing and credit risk. They will also monitor production models, perform exploratory data analysis, and ensure data quality for high-volume decision-making.
