SIXT

Tech Lead & Product Owner - AI Platform (m/f/d)

Stellenbeschreibung:

Overview

In this role you own the architecture and technical direction of SIXT's central MLOps/LLMOps Platform, enabling 80+ data scientists and ML teams to scale GenAI applications. You shape the platform’s roadmap, review code, and contribute hands-on when needed, driving value for an international, cross-functional audience. You balance build vs. buy decisions, manage dependencies, and communicate platform capabilities to users. This is a hands-on leadership role at the intersection of engineering and product ownership that shapes SIXT’s AI future.

Leistungen / Benefits
  • discounts on SIXT rent, share, ride and SIXT+
  • monthly mobility allowance of 20
  • retirement plan and capital-forming benefits
  • SIXT gym and leisure activities
  • high-quality employee restaurant
  • 30 days vacation and hybrid work model
Verantwortungsbereiche
  • Define and own the platform architecture and technical direction for the MLOps/LLMOps platform
  • Make design calls, balance build vs. buy, and be accountable for the value delivered
  • Review code/designs and prototype or fix when necessary
  • Own the vision, roadmap, and backlog; set priorities and drive outcomes
  • Lead agile ceremonies and facilitate technical discussions to reach clear decisions
  • Represent users’ needs by translating them into platform capabilities and adoption strategies
  • Manage dependencies and risks across an international stakeholder group
Zentrale Anforderungen
  • Production software experience, ideally Python and infrastructure-as-code
  • Ability to read unfamiliar codebases, review PRs, and contribute fixes or prototypes
  • Proven track record as Tech Lead, Technical Product Owner, or Engineering Lead with backlog/roadmap responsibility
  • Solid understanding of ML and LLM lifecycles and platform engineering
  • Experience with AI-assisted development and applying it in a controlled, reviewable way
  • Clear communication
  • Influence in international environments
  • Cross-functional collaboration
  • Python
  • Infrastructure-as-code
  • ML/LLM lifecycle knowledge
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München

    Einsatzort:

    Pullach near Munich
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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