Software Engineering Manager II, Consumer 360

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.

• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
• Leads and mentors team members on essential agile and product mindset tenets including early learning, self-organized teams, cross functionality, customer obsession, outcome focused, incremental delivery and test driven.
• Participates in work planning processes to ensure the most important work is aligned to the appropriate team, that work is broken down enough that outcomes can be delivered incrementally. 
• Leads and mentors cross functional team members on building world class products that deliver customer delight and business value
• Designs solutions to meet requirements for initiatives involving multiple team applications as well as applications owned by other teams.
• Supports delivery teams to ensure process and technology standards are consistently followed to enable consistent delivery of value.
• Develops and tracks delivery metrics while monitoring technical health of the product, informs progress toward delivery goals, and provides support appropriately when needed.
• Builds effective teams by ensuring you have the right people and setting clear expectations
• Monitors and evaluates team performance and continuously coach and mentor team members
• Sets up your team for operational success by having a sound understanding on the system ecosystem, architecture, technologies and system domains and how these are used to achieve business outcomes.
• Is an active participant in on-call escalation and incident management
• Owns the design, delivery, and lifecycle governance of API platforms and services used across teams — driving contract-first design, versioning and deprecation discipline, reuse, and consumer experience.
• Drives adoption of AI across the software development lifecycle (ADLC), establishing standards, guardrails, and measures of effectiveness for AI-assisted engineering within the team.
• Guides the team in identifying, designing, and delivering AI-enabled capabilities — including agentic solutions — with appropriate evaluation, human-in-the-loop controls, observability, and responsible-use practices.

• →Bachelor’s Degree or equivalent experience.
• →Minimum of 5 years’ experience leading engineering teams.
• →Proven experience in technical leadership, capable of providing mentorship, cross-functional project execution, setting and executing on technical vision and strategy
• →Extensive experience implementing Agile and DevOps practices including but not limited to test driven, incremental releases, continuous integration, and deployment pipeline automation.
• →Experience in microservices design strategies and implementation including migration planning, service granularity, interservice communication, traceability, orchestration, and failure isolation
• →Experience with Cloud migrations and working in a mixed on-prem / cloud environment (container orchestration, security, serverless)
• →Experience leading teams that design and operate reliable distributed services at scale, including performance, observability, failure recovery, and applying AI where it improves system capabilities or operations.
• →Experience creating reusable, developer-friendly platforms with self-service onboarding, API observability, and applied AI capabilities such as intelligent APIs, tool/function calling, and MCP-based integrations.
• →Experience building secure, scalable, and cost-efficient cloud platforms, including deployment automation and applied AI workloads such as RAG, model services, agents, and AI-enabled engineering workflows.

• 4 years’ experience of leading initiatives in a Java ecosystem
• Track record of identifying opportunities to improve outcomes via new tools and approaches, evaluating and measuring candidate solutions, and successfully advocating for their adoption
• Experience applying appropriate levels of transactional and race condition-resilient approaches, including database locking, distributed transactions (XA), SAGA pattern
• Ability to describe and design decoupled system transaction models that are resilient to upstream and downstream outages with appropriate recovery models
• Experience implementing and operationalizing rules engines
• Experience modernizing or decomposing legacy monoliths into API-first, cloud-native services.
• Experience introducing AI capability into an existing engineering organization — building the adoption plan, upskilling engineers, and measuring the impact on delivery speed and quality.
• Exposure to AI platform and tooling ecosystems (model providers and gateways, agent frameworks, vector databases, evaluation and observability tooling for LLM-based systems).

• Thought leader with deep technical expertise with the proven ability to influence and partner with business to innovate and drive outcomes
• Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership
• Ability to solve problems at the source by offering simple, working solutions.
• Anticipates the impact of a change or project across multiple systems.
• Responds promptly and effectively to resolve incidents, tasks, and projects.
• Demonstrated ability and motivation to teach others
• Ability to gain trust of others and builds solid relationships across and vertically throughout the organization
• Effectively prioritize and execute tasks in a high-pressure environment.
• Able to separate durable engineering fundamentals from hype when evaluating emerging AI tools and patterns, and to make pragmatic build-vs-buy and adopt-vs-wait decisions.

To be successful in this role, Team Members need to be:

• Positive by maintaining resiliency and focusing on solutions
• Respectful by collaborating and actively listening
• Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
• Direct by effectively communicating and conveying courage
• Earnest by taking accountability, applying feedback and effectively planning and priority setting

To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:

• Identify the Right People by recognizing top talent
• Set Clear Expectations by managing change and directing others
• Train team members and focus on developing talent
• Performance Manage by ensuring accountability and driving results
• Create the Right Environment by establishing trust and managing conflict
• Maintain the Right Number of team members needed to build an effective team

• Remain compliant with our policies processes and legal guidelines
• All other duties as assigned
• Attendance as required by department