Product Manager, Predictive AI (Classical Machine Learning)

**Role Overview:** As a member of the Pega Product Management India team, you will be focusing on Pega Decision Management and Analytics. You will collaborate closely with the Engineering teams and Technical Services Operations (TSO) teams to drive and deliver market-differentiating Decision Management capabilities in the Products. The Pega Product Management team is dedicated to driving the Product vision and strategy with an innovative mindset to provide a low-code platform for AI-powered decisioning and workflow automation. **Key Responsibilities:** - Maintain a product backlog of top priority Decision Management and Predictive Analytics related enhancements. - Lead the definition, prioritization, and coordinated delivery of market-leading capabilities across design, engineering, and release management teams. - Ensure iterative and incremental delivery of working software on a month-to-month basis, fully aligned with the broader vision and roadmap for the Pega Platform. - Collaborate closely with the architects to ensure that your offering is architected in accordance with best practices and operable with standard Pega Cloud offerings. - Demonstrate engaged enterprise thought leadership by taking accountability for clarifying uncertainty, ambiguity, and supporting the removal of obstacles to deliver market-leading software. - Conduct competitive analysis and regularly measure progress against competitors. - Update the delivery roadmap (3 months out) and full-year quarterly roadmap based on competitive analysis and a clear understanding of internal and external client and partner needs. - Collaborate with other teams and groups to deliver high-quality software with minimal tech debt in accordance with the software development life cycle (SDLC). - Meet with clients and analysts to showcase innovations. - Pursue patents and work with the legal team to submit patent ideas. **Qualifications Required:** - 6-10 years of experience working in a product organization, focusing on ideating, designing, and delivering capabilities. - Strong affinity with predictive analytics, statistics, ML ops, and monitoring. - Exposure to coding/awareness of concepts in R, Python (highly desired). - Understanding of core machine learning concepts, algorithms, and workflows. - Experience with Machine Learning platforms and frameworks. - Strong communication skills with experience in building impactful content including presentations, interactive product demos, webinars, videos, and case studies. - Experience collaborating and engaging with sales teams, customers, prospects, analysts, and internal management. - Ability to work effectively across silos to drive understanding, buy-in, and prioritization. - Strong analytical skills, attention to detail, and an overall can-do attitude. (Note: No additional details of the company were mentioned in the provided job description),