Software Engineering Manager II, Consumer 360

🕒 vor 1 Monat

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $155.263 - $227.719 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👮‍♀️ Leiter Softwareentwicklung

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 2%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Credit Acceptance

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1972

💸 Finanzen

💳 Fintech

🚘 Automobilindustrie

Finance • Fintech • Automotive

Credit Acceptance ist ein Unternehmen, das sich auf die Bereitstellung von Autofinanzierungslösungen für Einzelpersonen spezialisiert hat, einschließlich jener mit schlechter oder fehlender Kredithistorie. Mit über 50 Jahren Erfahrung hat Credit Acceptance mehr als 4 Millionen Verbrauchern geholfen, Finanzierungen für Fahrzeugkäufe zu sichern. Das Unternehmen betreibt ein Netzwerk von über 15. 000 Händlern und bietet Kunden die Möglichkeit, sich für Autofinanzierungen vorzuqualifizieren, ohne dass dies ihre Kreditwürdigkeit beeinträchtigt. Darüber hinaus stellt Credit Acceptance Bildungsressourcen und Tools, wie Zahlungs- und Autopreiskalkulatoren, zur Verfügung, um Kunden bei der Verwaltung ihrer Finanzen und beim Verständnis ihrer Kreditoptionen zu unterstützen. Die Mission des Unternehmens ist es, Möglichkeiten zu schaffen, indem finanzielle Lösungen angeboten werden, die Einzelpersonen die Chance geben, ihre finanzielle Situation zu verbessern und zuverlässige Mobilität zu sichern.

Beschreibung

• Lead and grow cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms • Drive engineering excellence, delivery outcomes, and technical health of owned products • Lead and mentor team members on Agile and product mindset principles • Participate in work planning to align priorities, teams, and incremental outcomes • Lead cross-functional teams in building products that deliver customer and business value • Design solutions spanning multiple team applications and applications owned by other teams • Support delivery teams in consistently following process and technology standards • Develop and track delivery metrics, monitor product technical health, and report progress toward delivery goals • Build effective teams, set clear expectations, evaluate performance, and coach and mentor team members • Maintain understanding of system ecosystem, architecture, technologies, and domains to support operational success • Participate in on-call escalation and incident management • Own the design, delivery, and lifecycle governance of API platforms and services, including contract-first design, versioning, deprecation, reuse, and consumer experience • Drive AI adoption across the software development lifecycle by establishing standards, guardrails, and effectiveness measures • Guide identification, design, and delivery of AI-enabled and agentic capabilities with evaluation, human-in-the-loop controls, observability, and responsible-use practices • Remain compliant with policies, processes, and legal guidelines • Perform other duties as assigned

🎯 Anforderungen

• Bachelor’s Degree or equivalent experience • Minimum of 5 years’ experience leading engineering teams • Proven experience in technical leadership, mentorship, cross-functional project execution, and setting and executing technical vision and strategy • Extensive experience implementing Agile and DevOps practices, including test-driven development, incremental releases, continuous integration, and deployment pipeline automation • Experience with microservices design strategies and implementation, including migration planning, service granularity, interservice communication, traceability, orchestration, and failure isolation • Experience with cloud migrations and mixed on-premises/cloud environments, including container orchestration, security, and serverless technologies • Experience leading teams that design and operate reliable distributed services at scale, including performance, observability, failure recovery, and applying AI to improve 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 • Required degrees must be earned at accredited higher-education institutions recognized by the Council for Higher Education Accreditation or equivalent • Preferred: 4 years’ experience leading initiatives in a Java ecosystem • Preferred experience with transactional and race-condition-resilient approaches, database locking, distributed transactions (XA), and SAGA pattern • Preferred experience designing decoupled system transaction models resilient to upstream and downstream outages • Preferred experience implementing and operationalizing rules engines • Preferred experience modernizing or decomposing legacy monoliths into API-first, cloud-native services • Preferred experience introducing AI capability into an engineering organization • Exposure to AI platform and tooling ecosystems, including model providers and gateways, agent frameworks, vector databases, and LLM evaluation and observability tooling • Deep technical expertise and ability to influence and partner with business stakeholders • Ability to communicate complex technical information verbally and in writing to all organizational levels, including senior leadership • Ability to solve problems at the source with simple, working solutions • Ability to anticipate cross-system impacts of changes and projects • Ability to respond promptly and effectively to incidents, tasks, and projects • Demonstrated ability and motivation to teach others • Ability to build trust and relationships throughout the organization • Ability to prioritize and execute tasks in a high-pressure environment • Ability to evaluate emerging AI tools pragmatically and make build-vs-buy and adopt-vs-wait decisions

🏖️ Vorteile

• Annual variable bonus of cash and equity, between 15-30% • Potential premium on top of the posted range for candidates residing in San Francisco, Seattle, Boston, New York City, Los Angeles, or San Diego • 401(K) match • Adoption assistance • Parental leave • Tuition reimbursement • Comprehensive medical, dental, and vision benefits • Many nonstandard benefits • Work-from-home arrangement • Professional development and continuous improvement environment

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