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Salary
≈ $85k – $161k per year (Estimated)
Location
In office (Munich)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 6, 2026. AutoScout24 scores B on the Alion truth index.

Overview
Company
Impact
Profile match
AutoScout24 is a European online car marketplace headquartered in Munich where consumers and dealers buy and sell new and used vehicles, alongside data, advertising and software products for automotive dealers. Founded in 1998, the AutoScout24 Group operates in Germany, Italy, the Netherlands through AutoTrack and Gaspedaal, Austria and Belgium, and in Canada through AutoTrader.ca and Dealertrack Canada. It hires software, platform and product engineers, product managers and designers, SEO and marketing specialists, key account and inside sales managers, and finance and procurement staff.

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our global community. 

We are seeking a highly experienced Engineering Manager  to lead the strategy, design, delivery, and operational excellence of integrations, automations, and enterprise platform initiatives across ERP, Billing, Revenue, CRM, HRIS systems. This role requires a strong technical and people leader with deep expertise in enterprise systems, data flows, platform modernization, migration programs, and large-scale delivery execution.

Key Responsibilities:

  • Lead the design and delivery of enterprise integrations and automation solutions across ERP, Billing, Revenue, CRM, HRIS, and related platforms.
  • Define scalable integration patterns, system interfaces, API strategies, data flows, and engineering standards across enterprise applications.
  • Apply an AI-first approach to solution development by identifying opportunities to improve automation, operational efficiency, insights, and engineering productivity through AI-enabled capabilities where appropriate.
  • Ensure AI-enabled solutions are implemented responsibly, with appropriate governance, security, explainability, and alignment to business objectives.
  • Lead system migration initiatives, including transition planning, cutover strategy, dependency mapping, risk management, and business continuity considerations.
  • Drive data archival and retention strategies, ensuring compliance, accessibility, cost efficiency, and operational integrity.
  • Lead system decommissioning efforts, including impact assessment, transition planning, historical data preservation, and retirement of legacy capabilities.
  • Oversee the design and support of data pipelines that enable reliable movement, transformation, and availability of business-critical data across systems.
  • Support business reporting and analytical needs by ensuring enterprise data is trusted, well-structured, and accessible for decision-making.
  • Manage end-to-end execution of integration and platform programs, including planning, prioritization, dependency management, issue resolution, and delivery oversight.
  • Define and enforce deployment, release, and rollback plans to ensure safe production changes, minimal disruption, and rapid recovery when required.
  • Lead engineering resources by providing technical direction, coaching, mentorship, and performance management.
  • Partner with business and technology stakeholders to translate complex requirements into practical, scalable, and maintainable solutions.
  • Establish best practices for documentation, monitoring, support readiness, operational governance, and continuous improvement.
  • Ensure solutions are secure, reliable, maintainable, and aligned with enterprise standards and business objectives.

Education, Experience & Technical Skills:

  • 10+ years of experience in software engineering, enterprise systems, integrations, or business systems technology.
  • Significant engineering management experience with strong ownership of team leadership, delivery execution, stakeholder alignment, and technical direction.
  • Strong experience designing, troubleshooting, and supporting software systems such as Billing, Revenue, CRM, ERP, HRIS, and related enterprise platforms.
  • Broad expertise in database technologies, including enterprise data modeling, transactional and analytical data structures, data storage, performance optimization, and data lifecycle management.
  • Strong experience with scripting and automation technologies used to support integrations, operational processes, batch workloads, and platform support activities.
  • Experience with reporting, analytics, and enterprise data consumption patterns, including the delivery of trusted data for operational and business insight needs.
  • Deep understanding of integration patterns, APIs, middleware, event-driven and service-based architectures, and enterprise automation frameworks.
  • Proven experience delivering and supporting real-time and batch integration solutions across a variety of enterprise technology environments.
  • Strong experience with data pipelines, transformation processes, orchestration, and system-to-system synchronization.
  • Solid understanding of software design principles and the ability to design systems at both conceptual and detailed levels.
  • Experience with modern API technology stacks, including web services, service contracts, payload formats, authentication, and enterprise integration standards.
  • Experience with system migration, production releases, deployment planning, rollback strategies, and operational readiness.

Leadership & Soft Skills:

  • Strong stakeholder management skills with the ability to influence, negotiate, and align technology initiatives with business priorities.
  • Ability to work effectively with technical experts across enterprise, digital, and business platforms.
  • Proactive mindset with strong attention to detail and a high sense of ownership.
  • Ability to structure teamwork, create clarity, and drive accountability.
  • Strong conflict management, problem-solving, and resolution skills.
  • Ability to balance strategic planning with hands-on delivery leadership.
  • Strong collaboration skills across engineering, operations, data, product, and business teams.
  • Demonstrated AI-first and innovation-oriented mindset, with the ability to evaluate emerging technologies pragmatically and apply them to real business problems.

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. 

For a career where you can drive our business and shape your future, apply now.  

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