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Senior, Principal Technical Solution Owner/ Product Manager (AI & Data Platforms)

4 hours, 56 minutes ago
Poland, Serbia, Spain, Turkey
Full-time
Senior
Technical Product Manager
Artificial Intelligence and Machine Learning
Agile Apache Airflow AWS Azure CI/CD Databricks dbt Docker GCP Generative AI Kafka Kubernetes LLM Microservices MLOps SageMaker Scrum Snowflake Vertex AI
Apply Now
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
View All Jobs 14

Description

  • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives.
  • Lead technical product discovery by evaluating emerging technologies and assessing fit for client use cases.
  • Design solution architectures with data architects and engineers, including build-vs-buy and technology stack decisions.
  • Develop technical roadmaps that balance innovation, scalability, security, and time-to-value.
  • Own the end-to-end product lifecycle for GenAI applications and related AI systems.
  • Translate business requirements into technical specifications, API contracts, data schemas, and integration patterns.
  • Guide model selection, evaluation criteria, deployment strategies, and MLOps practices for production AI systems.
  • Lead planning for data lake, lakehouse, warehouse modernization, and cloud data platform migration initiatives.
  • Facilitate Agile ceremonies, maintain backlogs, and decompose complex work into incremental releases.
  • Conduct technical due diligence, proofs-of-concept, and trade-off analysis to support informed decision-making.

Requirements

  • Bachelor's degree in Technology or Business-related field; Master's preferred.
  • 5-7+ years of experience in technical product management, solutions architecture, or software engineering.
  • 5+ years of product management experience with end-to-end product ownership.
  • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development.
  • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies.
  • Deep understanding of cloud architectures across AWS, Azure, and GCP.
  • Experience with AI/GenAI concepts including LLM integration, prompt engineering, RAG architectures, fine-tuning, and agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen.
  • Experience with data engineering tools and patterns including ETL/ELT, Snowflake, Databricks, dbt, Airflow, Kafka, and streaming architectures.
  • Experience with MLOps practices including model deployment, monitoring, versioning, CI/CD for ML, feature stores, and experiment tracking.
  • Preferred: Prior software development or data engineering experience of 3+ years.
  • Preferred: Background in consulting or professional services delivering client solutions.
  • Preferred: Certifications such as AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, or Certified Scrum Product Owner.

Benefits

  • Remote-friendly work environment.
  • Opportunity to lead top-tier engineering teams and cutting-edge agentic AI systems.
  • Ability to shape enterprise AI adoption from strategy through delivery.
  • Work within a team building modern AI delivery practices, tools, and frameworks.
  • Strong cross-functional partnerships across engineering, data, and consulting teams.

Interested in this position?

Apply directly on the company website

Apply Now

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