20 beste Stellen als forward deployed engineer, genai, google cloud – aktuell auf Personalsuche

Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
Own end-to-end product lifecycle (0 1 and scale) aligned with business KPIs
Build business cases (market analysis, ROI, competitive positioning).

Data & Platform Initiatives

Lead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability.

Agile Execution

Lead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements.

Stakeholder Collaboration

Work with clients, engineers, data scientists, and UX teams
Translate technical solutions into business value
Run workshops, user research, and product validation.

Performance & Scaling

Define success metrics and analytics frameworks
Drive continuous improvement and root-cause analysis
Support product adoption and change management.

What You Bring:

Experience

5–7+ years in product management (0 1 and scaling)
3–5+ years with AI/ML, GenAI, or data platforms
Strong Agile/Scrum experience
Experience in a client-facing / consulting environment
Advanced English and German language skills.

Technical Expertise

GenAI: prompt engineering, RAG, embeddings, vector DBs
Agentic AI: LangChain, AutoGPT, CrewAI
Data: ETL/ELT, data modeling, migration strategies
Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
MLOps, model deployment, AI observability
Tools: Jira, Confluence, Figma, Tableau/Power BI, Git.

Core Skills:

Design thinking, data-driven decision making, strong communication, and storytelling
Bias toward action; thrives in ambiguity with structured problem-solving
Engineering thinking, understanding of AI-native development toolset
Fluent in AI-powered automation, with hands-on experience building productivity tools for yourself or your team using Claude workflows/routines or similar tools, as well as automation platforms like n8n or equivalent.
Creativity, with experience building prototypes using Claude Code or similar tools.

Nice to Have

Consulting or client-facing product experience; software development background
Domain expertise in financial services, healthcare, retail, or manufacturing
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud Practitioner

Why Join Us:

Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms.
Shape how enterprises adopt AI — from strategy to architecture to delivery.
Grow within a team building modern AI-delivery practices, tools, and frameworks.
Remote-friendly culture with strong engineering, data, and consulting partnerships.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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What You'll Do

AI Product Strategy & Delivery