Senior Solution Manager – AI & Data Solutions

2 hours, 53 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
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 solutions (e.g., GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI.
  • Own end-to-end product lifecycle for 0→1 and scaling initiatives aligned with business KPIs.
  • Build business cases including market analysis, ROI assessment, and competitive positioning.
  • Lead large-scale data migration initiatives across cloud providers (AWS, Azure, GCP) and oversee data pipelines, transformation, governance, and APIs.
  • Ensure data quality, security, compliance, and observability for AI and data platforms.
  • Run Agile processes including backlog grooming, sprint planning, and breaking down complex features into incremental releases.
  • Balance feature delivery with technical debt and architecture improvements to support scale and reliability.
  • Collaborate with clients, engineers, data scientists, and UX teams; run workshops, user research, and product validation to translate technical solutions into business value.
  • Define success metrics and analytics frameworks, drive continuous improvement, root-cause analysis, and support product adoption and change management.

Requirements

  • 5–7+ years of product management experience with 0→1 and scaling responsibilities.
  • 3–5+ years working with AI/ML, GenAI, or data platforms.
  • Strong Agile/Scrum experience and experience in client-facing or consulting environments.
  • Hands-on knowledge of GenAI concepts: prompt engineering, RAG, embeddings, and vector databases.
  • Familiarity with Agentic AI frameworks and tools such as LangChain, AutoGPT, and CrewAI.
  • Experience with data engineering practices: ETL/ELT, data modeling, migration strategies, and data governance.
  • Experience with cloud platforms AWS, Azure, GCP and data platforms such as Snowflake, Databricks, or BigQuery.
  • Experience with MLOps, model deployment, and AI observability.
  • Familiarity with tooling: Jira, Confluence, Figma, Tableau or Power BI, and Git.
  • Nice-to-have: consulting or client-facing product experience, software development background, domain experience in financial services/healthcare/retail/manufacturing, and certifications such as CSPO, SAFe PO/PM, or cloud practitioner credentials (AWS/Azure/GCP).

Benefits

  • Remote-friendly, full-time role with global company presence (North America, LATAM, EMEA).
  • Opportunity to lead top-tier engineering teams and work on cutting-edge agentic AI systems and enterprise AI platforms.
  • Influence end-to-end enterprise AI adoption—from strategy and architecture to delivery.
  • Career growth within a team building modern AI-delivery practices, tools, and frameworks.
  • Strong engineering, data, and consulting partnerships and cross-functional collaboration opportunities.

Interested in this position?

Apply directly on the company website

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