Mount Bell Global - Senior Product Manager - AI/ML

Senior Product Manager (AI/ML) :

Description:

We are seeking an experienced Senior Product Manager AI/ML to lead the strategy, development, and delivery of intelligent, data-driven products. You will own the end-to-end product lifecycle for AI/ML solutions, working closely with Data Science, Engineering, Design, and Business stakeholders to build scalable, impactful, and customer-centric products.

This role combines product thinking, technical depth in AI/ML, and strong business acumen to translate complex models into real-world value.

Key Responsibilities

Product Strategy & Vision:

• Define product vision, strategy, and roadmap for AI/ML initiatives aligned with business goals
• Identify opportunities where AI/ML can drive automation, efficiency, or customer value
• Build business cases with ROI, cost-benefit, and impact analysis

Discovery & Problem Framing:

• Partner with stakeholders to identify high-value use cases
• Translate business problems into ML problem statements
• Define success metrics (precision/recall, lift, adoption, revenue impact, etc.)

Execution & Delivery :

• Lead end-to-end product lifecycle from ideation MVP scale
• Write PRDs, user stories, acceptance criteria
• Prioritize backlog using data and business impact
• Work closely with Data Scientists and Engineers to deploy production-grade models

AI/ML Collaboration :

• Partner with DS/ML teams on
• Model design and experimentation
• Feature engineering
• Training/validation approach
• Model performance metrics
• Ensure models are explainable, scalable, and compliant

Stakeholder Management :

• Collaborate with Engineering, Analytics, Sales, Marketing, and Operations
• Communicate product strategy and results to leadership
• Align cross-functional teams on priorities

Measurement & Optimization :

• Track product KPIs and model performance
• Run A/B tests and experiments
• Drive continuous improvement using data insights

Required Qualifications :

• 6 - 10+ years of Product Management experience
• 3+ years building or managing AI/ML or Data products
• Strong understanding of ML concepts (classification, regression, NLP, recommender systems, etc.)
• Experience working with Data Science/Engineering teams
• Hands-on experience with Agile/Scrum methodologies
• Strong analytical and problem-solving skills
• Excellent stakeholder and communication skills

Preferred Qualifications :

• Experience with ML platforms (AWS SageMaker, GCP Vertex, Azure ML)
• SQL/Python knowledge (working proficiency)
• Experience with experimentation frameworks/A-B testing
• Exposure to MLOps, model monitoring, and deployment pipelines
• MBA or technical background (Engineering/CS/Statistics)