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Product Manager – Platform Team (m/w/x) Saarbrücken

Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung

Shaping the foundational platform, cloud operations, and integrations for internal engineering teams. Several years of Product Management experience with a strong platform engineering mindset required. Mobile work, flexible working hours, and regular training.

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Anforderungen

  • Degree in Computer Science, Software Engineering, Business Informatics, or comparable field
  • Several years of Product Management experience
  • Strong platform engineering mindset
  • Proven track record in roadmapping
  • Proven track record in building business cases
  • Proven track record in driving platform adoption
  • Conceptual knowledge of cloud platforms (Azure or equivalent)
  • Conceptual knowledge of Kubernetes
  • Conceptual knowledge of container orchestration
  • Conceptual knowledge of infrastructure-as-code
  • Conceptual knowledge of CI/CD (e.g., GitLab)
  • Conceptual knowledge of observability patterns
  • Conceptual knowledge of integration architectures
  • Operational awareness of AI/ML model serving
  • Operational awareness of inference infrastructure (e.g., NVIDIA Triton)
  • Strong sense for technical feasibility
  • Ability to challenge complexity
  • Ability to make data-driven decisions
  • Ability to navigate ambiguity
  • Exceptional communication skills
  • Ability to convey platform value to technical stakeholders
  • Ability to convey platform value to non-technical stakeholders
  • Ability to build consensus across cross-functional teams
  • Ability to influence without authority across cross-functional teams
  • Self-organized working style
  • Pragmatic working style
  • Structured working style
  • Comfortable operating at strategic levels
  • Comfortable operating at tactical levels
  • Genuine curiosity
  • Strong desire for continuous learning
  • C1 English proficiency
  • Prior experience in document processing
  • Prior experience in RAG
  • Prior experience in AI/ML products
  • Prior experience in enterprise SaaS
  • Background in site reliability engineering
  • Background in DevOps
  • Background in software engineering before product management
  • Experience with multi-cloud strategies
  • Experience with hybrid cloud strategies (Azure, OpenStack)
  • Familiarity with open source platform tooling ecosystems
  • Experience scaling platforms in high-growth environments
  • Experience scaling platforms in rapidly changing environments

Aufgaben

  • Shape the foundational platform, cloud operations, integrations, and base services
  • Ensure internal engineering teams have a reliable, scalable, and developer-friendly foundation
  • Act as the team's spokesperson in OKR planning, roadmap reviews, and cross-team alignment
  • Define and refine the product vision, strategy, and roadmap for the platform
  • Prioritize investments and evaluate build vs. buy decisions
  • Drive adoption of platform services across all AI Hub teams
  • Build business cases demonstrating ROI through productivity gains, cost savings, and reliability improvements
  • Validate platform improvement ideas through user research with AI Hub engineering teams
  • Identify and remove friction in developer workflows
  • Prioritize competing requests from engineering teams
  • Assess new technological opportunities in cloud infrastructure, container orchestration, CI/CD, observability, and integration patterns
  • Enhance self-service capabilities and developer autonomy
  • Coordinate the timely, high-quality delivery of platform increments in an agile team
  • Clarify requirements, resolve blockers, and support technical decision-making with Engineering and Machine Learning
  • Constructively challenge complexity and foster an iterative, data-driven development approach
  • Define and monitor platform success metrics, including deployment frequency, lead time, MTTR, developer satisfaction, and cloud spend efficiency
  • Drive cost optimization strategies
  • Derive concrete improvement initiatives from data, experiments, and developer feedback
  • Communicate strategy, roadmap, and progress transparently to stakeholders and leadership
  • Translate technical work and debt into tangible business outcomes
  • Drive adoption through evangelism and change management
  • Build consensus across a matrix organization by influencing without authority

Berufserfahrung

ca. 1 - 4 Jahre

Ausbildung

Bachelor-Abschluss

Sprachen

Englischverhandlungssicher
DeutschGrundkenntnisse

Tools & Technologien

AzureKubernetescontainer orchestrationinfrastructure-as-codeCI/CDGitLabobservability patternsintegration architecturesevent handlingmessagingshared APIsAI/ML model servingNVIDIA TritonRAGenterprise SaaSOpenStack

Benefits

Flexibles Arbeiten
  • Mobile work
  • Flexible working hours
  • Flexible work location
Mentoring & Coaching
  • Individual support
Weiterbildungsangebote
  • Regular training
Mehr Urlaubstage
  • 35 days of vacation
Snacks & Getränke
  • Free coffee and soft drinks
  • Free snacks
  • Free fresh fruit
Team Events & Ausflüge
  • Regular employee events
  • Regular team events
Betriebliche Altersvorsorge
  • Company pension plan subsidy
Sicherer Arbeitsplatz
  • Stable job
Sinnstiftende Arbeit
  • High degree of freedom
Startup-Atmosphäre
  • Work with decision makers
Sonstige Vorteile
  • Work with AI experts
  • Bonago option
Gesundheits- & Fitnessangebote
  • E-Gym option
Öffi Tickets
  • Subsidized Deutschlandticket
Workation & Sabbatical
  • 30 days work from abroad

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