Senior Workforce Solutions Engineer

Credit Acceptance Corporation • San Francisco, CA

9d • Hybrid

About The Position

Credit Acceptance is hiring a Senior Workforce Solutions Engineer to improve enterprise workforce applications and business processes through platform engineering, automation, integrations, and responsible use of AI. The role partners with product owners, service teams, business stakeholders, application owners, Security, Finance, Procurement, and vendors to identify friction, prioritize opportunities, deliver measurable improvements, and support the evolution of the company’s technology and application portfolio.

The engineer builds and operates production capabilities using supported platform features, scripts, APIs, low-code tools, and AI-enabled workflows. Work includes improving knowledge quality and permissions-aware retrieval, protecting sensitive data, implementing access controls and human approvals, evaluating AI solutions before release, and monitoring quality and adoption. The role owns reliability and release practices for platform capabilities and integrations, participates in an on-call rotation, maintains technical documentation and runbooks, and measures productivity outcomes. It also contributes to application portfolio management, engineering standards, mentoring, user guidance, and roadmap recommendations.

The position follows a hybrid work model, with two work-from-home days and three standard in-office days each week at a local office. Candidates must reside in or be willing to relocate to the greater Southfield, Michigan area; greater Bellevue, Washington area; or San Francisco Bay Area, California. The position offers a base salary range of $125,500–$175,700 and eligibility for an annual variable cash and equity incentive of 7.5–15% of base salary.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a closely related field, or equivalent work experience.
• At least 6 years of experience administering and engineering enterprise business applications, with a demonstrated record of shipping automation and improving business workflows.
• Hands-on Atlassian administration and automation experience, including Jira and Confluence, plus ADP or a comparable payroll or HR platform.
• Scripting and integration experience using Python, PL/SQL, JavaScript, REST APIs, or webhooks, including supporting integrations in production.
• Practical experience applying generative AI or agent tools to business workflows, including evaluation, data access controls, and human oversight.
• Experience building secure, compliant applications, including access controls and sensitive data handling for HR, payroll, and financial processes; familiarity with standards such as SOC 2.
• Experience with incident resolution, root-cause analysis, and technical documentation for enterprise applications.
• Practical expertise in the Software Development Life Cycle (SDLC) and Agent Development Life Cycle (ADLC), including Agile/SCRUM practices, testing, release management, and DevOps practices.
• Experience providing technical leadership and mentoring to other engineers.
• Must reside in or be willing to relocate to the greater Southfield, Michigan area; greater Bellevue, Washington area; or San Francisco Bay Area, California.
• Required degrees must have been earned at institutions of higher education accredited by the Council for Higher Education Accreditation or equivalent.
• Remain compliant with company policies, processes, and legal guidelines; attendance is required as determined by the department.

Nice To Haves

• Atlassian or ADP certifications.
• Experience with enterprise low-code automation, knowledge and search quality, approved AI assistants, or reusable agent tools and actions.
• Experience exposing enterprise actions to external AI agents through governed APIs or standards such as Model Context Protocol (MCP), and experience with AI evaluation datasets.
• Experience with license optimization, application consolidation, and integrating workforce applications with ServiceNow, identity, or collaboration platforms.
• Skills in diagnosing and debugging complex systems; learning and engineering across a varied application portfolio; partnering with the business to clarify problems and deliver measurable outcomes; communicating complex technical information to all levels, including senior leadership; mentoring engineers and influencing stakeholders; and understanding AI, agentic systems, and automation.

Responsibilities

• Identify process friction and simplify workflows before automating them.
• Partner with product owners, service teams, and business stakeholders to prioritize improvement opportunities.
• Configure platform workflows, write scripts, expose supported APIs, and use approved low-code tools to automate recurring work.
• Deliver production productivity solutions with clear ownership and support.
• Engineer conversational experiences, knowledge, workflows, and agent capabilities, using deterministic automation or bounded AI reasoning as appropriate.
• Build documented, reusable actions, integrations, and templates for multiple teams using supported native capabilities where possible.
• Connect portfolio applications with enterprise systems through supported APIs and secure data exchange, including validation, monitoring, retries, and exception handling.
• Improve knowledge quality with content owners and implement permissions-aware retrieval grounded in authoritative information.
• Configure least-privilege roles, integration identities, and secrets management; support access reviews and audit evidence while preserving segregation of duties, especially for HR and payroll processes.
• Evaluate AI solutions before release by testing workflow correctness, response quality, permissions, and failure scenarios; monitor production quality and adoption without exposing sensitive data in logs or test datasets.
• Build human approval for sensitive actions, audit trails, and mechanisms to suspend faulty automation.
• Establish productivity baselines with business owners and measure cycle time, hours released, adoption, and rework, distinguishing released capacity from realized savings.
• Own production reliability for platform capabilities and integrations; use logs, alerts, and root-cause analysis to reduce recurring failures.
• Monitor task completion, self-service resolution, and latency; automate regression testing, maintain source control, document runbooks, and participate in the on-call rotation.
• Maintain application inventory, dependencies, license usage, and renewal dates; recommend consolidation or retirement based on usage, cost, and business value, coordinating with owners, Finance, Procurement, and vendors.
• Mentor peers, review technical designs, and establish reusable standards for testing, integrations, and AI-enabled workflows.
• Use approved AI tools in engineering and review generated output; evaluate emerging AI capabilities and recommend roadmap improvements based on business value.
• Provide user guidance and knowledge transfer.

Benefits

• 401(k) match
• Adoption assistance
• Parental leave
• Tuition reimbursement
• Comprehensive medical, dental, and vision coverage
• Additional nonstandard benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior