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 concept through scale, aligned with business KPIs.
  • Build business cases that include market analysis, ROI, and competitive positioning.
  • Lead large-scale data migration initiatives across AWS, Azure, and GCP.
  • Oversee data pipelines, transformation, governance, APIs, and data quality controls.
  • Ensure data security, compliance, observability, and operational reliability.
  • Lead Agile execution, including backlog grooming, sprint planning, and incremental release planning.
  • Collaborate with clients, engineers, data scientists, and UX teams to translate technical solutions into business value.
  • Run workshops, user research, and product validation activities.
  • Define success metrics, analytics frameworks, 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 Agile/Scrum experience.
  • Experience in a client-facing or consulting environment.
  • Advanced English and German language skills.
  • Hands-on experience with GenAI concepts such as prompt engineering, RAG, embeddings, and vector databases.
  • Experience with Agentic AI tools such as LangChain, AutoGPT, or CrewAI.
  • Experience with ETL/ELT, data modeling, and migration strategies.
  • Experience with cloud platforms such as AWS, Azure, or GCP, and platforms such as Snowflake, Databricks, or BigQuery.
  • Experience with MLOps, model deployment, AI observability, and tools such as Jira, Confluence, Figma, Tableau/Power BI, and Git.
  • Nice to have: consulting or client-facing product experience and a software development background.
  • Nice to have: domain expertise in financial services, healthcare, retail, or manufacturing.
  • Nice to have: CSPO, SAFe PO/PM, or AWS/Azure/GCP Cloud Practitioner certification.
  • Experience building productivity tools or automations with Claude workflows/routines, n8n, or similar tools.
  • Experience building prototypes using Claude Code or similar tools.

Benefits

  • Remote-friendly work environment.
  • Opportunity to lead top-tier engineering teams and cutting-edge agentic AI systems.
  • Chance to shape how enterprises adopt AI from strategy through delivery.
  • Work within a team building modern AI-delivery practices, tools, and frameworks.

Interested in this position?

Apply directly on the company website

Apply Now

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