Senior Product Manager, AI

ABBYY ABBYY · Enterprise · Hungary +2 · Product Management

Senior Product Manager, AI role at ABBYY, focusing on defining, building, and scaling AI-powered capabilities for enterprise customers. The role involves owning the AI product vision and execution, collaborating with engineering and data science teams, and driving the full product lifecycle from concept to commercialization. Key responsibilities include shaping the AI product roadmap, identifying innovation opportunities, delivering foundational AI capabilities, and championing AI across the organization. Requires strong product management experience with AI/ML-driven products, understanding of ML fundamentals, and familiarity with technologies like OCR, VLMs, and LLMs.

What you'd actually do

  1. Define and Execute AI Product Strategy
  2. Drive AI Innovation and Opportunity Identification
  3. Lead End-to-End Product Lifecycle
  4. Deliver Foundational AI Capabilities
  5. Champion AI Across the Organization

Skills

Required

  • 5+ years of product management experience
  • strong experience delivering AI/ML-driven products
  • Proven track record of launching successful AI-enabled products from concept through commercialization
  • Strong understanding of machine learning fundamentals, AI applications, and data-driven product development
  • Working knowledge of OCR technologies and Intelligent Document Processing (IDP) systems
  • Deep familiarity with multi-modal models, including Vision Language Models (VLMs) and Large Language Models (LLMs)
  • Exceptional analytical and problem-solving skills
  • Strong communication and stakeholder management skills

Nice to have

  • Bachelor’s or advanced degree in Computer Science, Engineering, Business, or a related field
  • Hands-on experience partnering closely with machine learning engineers and data scientists
  • Familiarity with AI/ML tools, platforms, and product development ecosystems
  • Experience with model optimization and compression techniques
  • Familiarity with generative AI workflows such as prompt engineering, Retrieval-Augmented Generation (RAG), or agentic frameworks

What the JD emphasized

  • strong experience delivering AI/ML-driven products
  • Proven track record of launching successful AI-enabled products from concept through commercialization
  • Working knowledge of OCR technologies and Intelligent Document Processing (IDP) systems
  • Deep familiarity with multi-modal models, including Vision Language Models (VLMs) and Large Language Models (LLMs)

Other signals

  • AI-powered capabilities
  • intelligent, data-driven products
  • customer-facing solutions
  • core AI/ML services