The ideal candidate seamlessly navigates between strategic vision and tactical execution, translating ambiguous business challenges into actionable product roadmaps. You're equally comfortable presenting AI architecture decisions to C-suite executives as you are collaborating with ML engineers on prompt engineering strategies or data scientists on embedding models
What You'll Do
- 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 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.
What We Do
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.
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