Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.
We seek an exceptional Senior Product Manager who thrives at the intersection of emerging AI technologies and enterprise data transformation. You'll lead product strategy and execution for client engagements involving AI, Agentic AI systems, and complex data migration initiatives – delivering solutions that drive measurable business impact.
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
- AI Product Strategy & Delivery
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 InitiativesLead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability.
Agile ExecutionLead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements.
Stakeholder CollaborationWork with clients, engineers, data scientists, and UX teams
Translate technical solutions into business value
Run workshops, user research, and product validation.
Performance & ScalingDefine 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 ExpertiseGenAI: 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
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.
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.
