Remote AI-Driven Software Engineering Manager

Credit Acceptance

United States

Remote

USD 155,000 - 228,000

Full time

6 days ago
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Benefits offered by this job

401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/dental/vision

Job summary

Credit Acceptance is seeking a Software Engineering Manager II to lead and grow cross-functional engineering teams that build and operate distributed, API-driven, cloud-native platforms. You will own the design, delivery, and lifecycle governance of API platforms and drive AI adoption across the SDLC.

The role emphasizes engineering excellence, customer obsession, and an owner’s mindset, with travel to Southfield, MI as needed and primarily remote work from home.

Qualifications

  • Bachelor's Degree or equivalent experience.
  • Minimum of 5 years' experience leading engineering teams.
  • Proven experience in technical leadership, mentorship, cross-functional project execution, setting and executing on technical vision and strategy.
  • Extensive experience implementing Agile and DevOps practices including test driven, incremental releases, CI, 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.

Responsibilities

  • 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.

Skills

Leadership
Agile methodologies
DevOps practices
AI-assisted engineering
Cloud platforms
Microservices design
Communication skills
Cross-functional collaboration
Technical vision & strategy

Education

Bachelor's Degree or equivalent experience

Job description

Credit Acceptance is seeking a Software Engineering Manager II to lead and grow cross-functional engineering teams that build and operate distributed, API-driven, cloud-native platforms. You will own the design, delivery, and lifecycle governance of API platforms and drive AI adoption across the SDLC.

The role emphasizes engineering excellence, customer obsession, and an owner’s mindset, with travel to Southfield, MI as needed and primarily remote work from home.

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