Software Engineering Manager II, Consumer 360

🕒 Setembro 17

🚗 Michigan – Remoto

🚗 Michigan – Remote

💵 $155.263 - $227.719 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 2%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Credit Acceptance

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1972

💸 Finanças

💳 Fintech

🚘 Automotivo

Finance • Fintech • Automotive

A Credit Acceptance é uma empresa especializada em fornecer soluções de financiamento de automóveis para indivíduos, incluindo aqueles com histórico de crédito ruim ou sem histórico de crédito. Com mais de 50 anos de experiência, a Credit Acceptance ajudou mais de 4 milhões de consumidores a garantir financiamento para a compra de veículos. A empresa opera uma rede com mais de 15. 000 concessionárias e oferece aos clientes a possibilidade de pré-qualificação para financiamento de automóveis, o que não impacta sua pontuação de crédito. Além disso, a Credit Acceptance fornece recursos e ferramentas educacionais, como calculadoras de pagamento e de preço de automóveis, para ajudar os clientes a gerenciar suas finanças e compreender suas opções de crédito. A missão da empresa é impulsionar possibilidades oferecendo soluções financeiras que proporcionem aos indivíduos a oportunidade de melhorar sua situação financeira e garantir transporte confiável.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo