Senior Product Manager, AI
About the role
About the role:
ABBYY is investing heavily in artificial intelligence to accelerate innovation across our product portfolio. As a Senior Product Manager, AI, your mission is to define, build, and scale AI-powered capabilities that drive meaningful customer outcomes and business growth.
This is a highly strategic role where you will own the vision and execution of AI initiatives, working cross-functionally to bring intelligent, data-driven products and features to market. You’ll partner closely with engineering, data science, and design teams to translate cutting-edge AI technologies into scalable, customer-facing solutions.
You will be responsible for shaping the AI product roadmap, identifying opportunities for innovation, and ensuring successful delivery across the full product lifecycle. This role blends strategic thinking, technical depth, and execution rigor, and is critical to ABBYY’s continued leadership in intelligent automation.
You will report into Product leadership and collaborate closely with cross-functional stakeholders across Product, Engineering, and Go-To-Market teams.
Job Responsibilities:
Define and Execute AI Product Strategy- 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
- Prioritize investments and initiatives that drive business growth and innovation
- Lead market analysis, customer research, and competitive assessments to identify opportunities for AI integration and differentiation
- Stay informed on emerging AI technologies to inform product direction
- Collaborate with engineering, design, data science, and cross-functional teams to design, develop, and launch AI-driven solutions
- Own product requirements including user stories, technical specifications, success metrics, and go-to-market strategies
- Own and evolve core AI/ML services leveraged across multiple product lines
- Ensure seamless integration of AI capabilities into enterprise workflows
- Evangelize AI initiatives both internally and externally, clearly articulating value, risks, and opportunities
- Educate stakeholders and leadership on AI strategy and business impact
- Leverage experimentation, analytics, and customer insights to continuously improve product performance
- Define and track key metrics such as model accuracy, inference speed, and business outcomes