Senior Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Product Manager (AI): Leading product strategy and execution for enterprise AI and data transformation projects with an accent on GenAI, Agentic AI systems, and complex data migrations. Focus on translating ambiguous business challenges into actionable product roadmaps and overseeing the delivery of high-impact LLM-based solutions.
Location: Must be based in Germany, Austria, or Romania
Company
is a Premier AWS partner specializing in bespoke AI applications, managed services, and advisory engagements to accelerate enterprise digital transformation.
What you will do
- Define product vision and roadmaps for GenAI/LLM solutions, RAG, and Agentic AI systems.
- Own the end-to-end product lifecycle from initial concept (0→1) to scale, aligned with business KPIs.
- Lead large-scale data migrations across AWS, Azure, and GCP, overseeing pipelines and governance.
- Drive Agile execution, including backlog grooming, sprint planning, and incremental feature releases.
- Collaborate with C-suite executives, ML engineers, and data scientists to translate technical solutions into business value.
- Establish success metrics and analytics frameworks to drive continuous product improvement.
Requirements
- 5–7+ years of experience in product management (0→1 and scaling).
- 3–5+ years of experience working with AI/ML, GenAI, or data platforms.
- Advanced English and German language skills.
- Technical expertise in prompt engineering, RAG, embeddings, and vector databases.
- Proficiency with Agentic AI frameworks like LangChain, AutoGPT, or CrewAI.
- Experience in a client-facing or consulting environment.
Nice to have
- Software development background or experience in technical consulting.
- Domain expertise in financial services, healthcare, retail, or manufacturing.
- Professional certifications such as CSPO, SAFe PO/PM, or AWS/Azure/GCP Cloud Practitioner.
Culture & Benefits
- Remote-friendly work culture.
- Opportunity to shape how global enterprises adopt and implement cutting-edge Agentic AI systems.
- Collaborative environment working alongside top-tier engineering and data science teams.
- Focus on professional growth within a team building modern AI-delivery practices and frameworks.
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