(Senior) Technical Product Owner - AI Platform (f/m/d) at SIXT

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Product Ownership, MLOps, LLMOps, Platform Engineering, Agile Methodology, AWS SageMaker, AWS Bedrock, CI/CD, Docker, Kubernetes, RAG, LangChain, LangGraph, Stakeholder Management, Roadmap Planning, Backlog Prioritization

Industry

Travel Arrangements

Description

Company Description Job Description In this role, you drive the vision and roadmap for SIXT's central MLOps/LLMOps Platform and AI Service tooling. You empower over 80 Data Scientists, ML Engineers, and product teams to create cutting-edge GenAI applications. Join our Data Science team and become part of Team Orange in Pullach close to Munich and apply today. YOUR ROLE AT SIXT You own the vision, roadmap, and backlog for two platform products: the MLOps/LLMOps Platform and the AI Service (LLM Gateway, Document Ingestion, Observability, internal chatbot platform) You set priorities, make tradeoff calls, and stay accountable for the value delivered You run the agile cadence (stand-ups, planning, refinement, reviews, retros) and keep the team focused and unblocked You moderate and steer technical discussions, grasp the core of the debate, and drive the team to clear decisions You represent your users and turn their needs into platform capabilities and adoption You manage dependencies and risks across both products and align an international set of stakeholders YOUR SKILLS MATTER Experience Proven track record as a Technical Product Owner, TPM, or Agile Delivery Lead for software or platform products Ownership You set direction, prioritize, and drive outcomes rather than just coordinate Technical competence You got a solid understanding of MLOps/LLMOps and platform engineering, enough to steer technical discussions and own technical prioritization Great to have You are familiar with AWS (SageMaker, Bedrock), ML/LLM lifecycles, CI/CD, Docker/Kubernetes, LLM gateways, RAG, and agentic frameworks (e.g. LangGraph, LangChain) Communication You explain complex topics clearly and influence decisions in an international environment Languages You are fluent in English - our working language across an international team and stakeholder environment WHAT WE OFFER Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more Mobility boost We support you with a monthly mobility allowance of €20 per month for even more freedom Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children Additional Information About us: We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now! Department: TECH & Engineering Legal Entity: Sixt SE

Responsibilities

Drive the vision, roadmap, and backlog for the central MLOps/LLMOps Platform and AI Service tooling. Lead agile cadences and steer technical discussions to empower data scientists and ML engineers in creating GenAI applications.