Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010

Description

  • Define product vision and roadmaps for GenAI, LLM, RAG, and agentic AI solutions.
  • Own the end-to-end product lifecycle from initial concept through scaling, aligned to business KPIs.
  • Build business cases including market analysis, ROI, and competitive positioning.
  • Lead large-scale data migration initiatives across AWS, Azure, and GCP.
  • Oversee data pipelines, transformation, governance, APIs, quality, security, compliance, and observability.
  • Lead Agile execution including backlog grooming, sprint planning, and iterative delivery.
  • Break down complex initiatives into incremental releases while balancing feature delivery and technical debt.
  • Collaborate with clients, engineers, data scientists, and UX teams to translate technical work into business value.
  • Run workshops, user research, and product validation activities.
  • Define success metrics, analytics frameworks, product adoption efforts, and continuous improvement processes.

Requirements

  • 5–7+ years of product management experience, including 0→1 and scaling work.
  • 3–5+ years of experience with AI/ML, GenAI, or data platforms.
  • Strong experience with Agile/Scrum delivery practices.
  • Experience in a client-facing or consulting environment.
  • Advanced English and German language skills.
  • Hands-on technical knowledge of prompt engineering, RAG, embeddings, and vector databases.
  • Experience with agentic AI tools and frameworks such as LangChain, AutoGPT, or CrewAI.
  • Experience with ETL/ELT, data modeling, and data migration strategies.
  • Experience with AWS, Azure, and GCP, plus platforms such as Snowflake, Databricks, or BigQuery.
  • Familiarity with MLOps, model deployment, AI observability, Jira, Confluence, Figma, Tableau or Power BI, and Git.
  • Strong design thinking, communication, storytelling, and data-driven decision-making skills.
  • Hands-on experience building AI-powered productivity tools or prototypes with Claude workflows, n8n, Claude Code, or similar tools.
  • Consulting or client-facing product experience and/or a software development background is preferred.
  • Domain expertise in financial services, healthcare, retail, or manufacturing is preferred.
  • Certifications such as CSPO, SAFe PO/PM, or AWS/Azure/GCP Cloud Practitioner are preferred.

Benefits

  • Remote-friendly work environment.
  • Opportunity to lead cutting-edge agentic AI systems and enterprise AI platforms.
  • Chance to shape how enterprises adopt AI from strategy through architecture and delivery.
  • Growth opportunities within a team building modern AI delivery practices, tools, and frameworks.
  • Collaboration with strong engineering, data, and consulting teams.

Interested in this position?

Apply directly on the company website

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