Product Manager - AI

We are looking for an experienced Product Manager - AI to lead the vision, development, and delivery of AI-driven products, bridging the gap between market needs, business objectives, and technical execution. The ideal candidate will bring strong product leadership skills combined with deep technical acumen in AI and machine learning to drive innovative solutions from concept to production.
Responsibilities
Define and communicate product vision and mission to align stakeholders around a shared goal
Lead product development initiatives with an entrepreneurial mindset to identify new opportunities
Serve as the bridge between market demands and business strategy to ensure product-market fit
Own product and service design processes to deliver user-centric solutions
Develop and execute product and go-to-market strategies for successful product launches
Build business models and financial projections to support product decisions
Manage the product roadmap to ensure alignment with business priorities and timelines
Conduct market and competitor analysis to inform strategic product decisions
Oversee backlog and change management processes to maintain delivery efficiency
Track and report on product success metrics to measure impact and inform iteration
Apply agile delivery methodologies to manage product development cycles
Own AI solutions from concept to production, ensuring responsible and ethical AI practices throughout the lifecycle
Requirements
10-15 years of overall experience in IT, with 10+ years specifically in Product Owner and Product Management roles
Expertise in BFSI, Healthcare, Insurance, and Life Sciences domains
Expertise in BPM, wireframing, mockup design, and demo creation
Expertise in product roadmap management, risk management, and mitigation strategies
Knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI / LLMs
Understanding of model training versus model usage trade-offs, along with MLOps / LLMOps lifecycle management
Understanding of dataset creation, labeling, quality considerations, AI evaluation metrics, and monitoring strategies
Familiarity with advanced requirements engineering for AI systems and agile product ownership for AI and data teams
Knowledge of responsible AI principles and ethics
Familiarity with AI models used for productivity enhancement in product management activities

Work arrangement
No