Help define and execute the GenAI strategy and roadmap within the AMI Platform, ensuring alignment with business objectives.
Collaborate with cross-functional teams (product, development, UX, solutions marketing, support, etc.) to prioritize AI-powered features and deliver AI-driven capabilities, balancing innovation with technical feasibility.
Help plan product deliveries, including documenting requirements, scheduling releases, and publishing roadmaps.
Engage with customers and prospects to understand their needs, validate AI use cases, and gather feedback for continuous improvement.
Work with technology partners to define and execute seamless integration of AI capabilities across the AMI Platform and its product portfolio, to enhance product functionality.
Collaborate with internal stakeholders to ensure alignment between product, engineering, marketing, and customer success teams.
Ensure solutions are delivered on time, sales teams are enabled, and customers derive value.
Define key success metrics, analyze product performance, and make data-driven decisions to improve adoption and impact.
Stay up to date on GenAI market trends, competitive landscape, and industry best practices, applying insights to product strategy.
Qualifications:
5+ years of experience in product management within enterprise software, cloud, or AI-driven applications.
At least 1 year of experience with AI/ML and Generative AI.
Prior experience as a software engineer / technical background.
Understanding of enterprise IT environments, cloud infrastructure, and AI/ML technologies.
Strong grasp of Agile software development methodologies.
Excellent communication skills, with the ability to influence stakeholders and present to customers and executives.
Data-driven mindset, with experience defining KPIs, analyzing usage metrics, and making insights-driven product decisions.
Fluent in English, with proficiency in technical IT terminology.
Nice to Have:
Hands-on experience working with GenAI technologies, LLMs, or AI-driven automation tools.
Knowledge of mainframe environments or experience in enterprise DevOps, AIOps, or IT automation.