Senior Product Manager, AI

ABBYY ABBYY · Enterprise · Hungary +2 · Product Management

Senior Product Manager, AI responsible for defining, building, and scaling AI-powered capabilities for enterprise customers. This role involves owning the vision and execution of AI initiatives, partnering with engineering and data science, shaping the AI product roadmap, and ensuring successful delivery across the full product lifecycle. Key responsibilities include defining AI product strategy, driving innovation, leading the product lifecycle, delivering foundational AI capabilities, championing AI across the organization, and driving data-driven execution with a focus on measurable outcomes.

What you'd actually do

  1. Partner with product managers and key stakeholders to define and execute the strategic roadmap for AI-powered products and features, aligning with company objectives and customer needs
  2. Lead market analysis, customer research, and competitive assessments to identify opportunities for AI integration and differentiation
  3. Collaborate with engineering, design, data science, and cross-functional teams to design, develop, and launch AI-driven solutions
  4. Own and evolve core AI/ML services leveraged across multiple product lines
  5. Evangelize AI initiatives both internally and externally, clearly articulating value, risks, and opportunities

Skills

Required

  • 5+ years of product management experience
  • 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
  • Strong understanding of machine learning fundamentals, AI applications, and data-driven product development
  • Deep familiarity with multi-modal models, including Vision Language Models (VLMs) and Large Language Models (LLMs)

Other signals

  • Define and Execute AI Product Strategy
  • Drive AI Innovation and Opportunity Identification
  • Lead End-to-End Product Lifecycle
  • Deliver Foundational AI Capabilities
  • Champion AI Across the Organization
  • Drive Data-Driven Execution