Job Description:
As an AI Product Manager, you will take ownership of the full product lifecycle for AI-powered solutions — from initial concept to deployment and iteration. You’ll partner closely with machine learning engineers, data scientists, UX designers, and executive stakeholders to translate AI capabilities into market-ready features that solve real user problems.
Your work will include shaping the roadmap for intelligent systems, managing data-centric initiatives, and ensuring rigorous alignment between AI research outcomes and business goals. Success in this role demands technical fluency in AI/ML concepts, strong product instincts, and the ability to navigate uncertainty in fast-moving environments. You’ll be responsible for identifying opportunities, validating hypotheses, managing cross-functional collaboration, and launching AI products that are ethical, scalable, and commercially viable.
Responsibilities:
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Product Strategy & Vision
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Define the long-term product vision and strategy for AI/ML-enabled features.
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Identify high-impact opportunities where AI can drive customer or business value.
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Translate ambiguous business problems into clear product requirements for AI teams.
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AI/ML Collaboration
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Work closely with ML researchers and engineers to understand capabilities and model constraints.
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Prioritize ML use cases based on feasibility, data availability, and business relevance.
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Guide model evaluation, experimentation pipelines, and success criteria.
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Cross-Functional Execution
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Lead agile product development cycles from concept to production.
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Partner with data science, engineering, legal, and compliance to ensure smooth deployment of models.
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Manage feedback loops between users and product iterations for continuous learning.
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Data Stewardship & Ethics
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Advocate for responsible AI development — including fairness, explainability, and privacy.
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Ensure data governance, labeling quality, and ethical alignment in data-driven decision-making.
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Customer & Market Insight
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Conduct user research, competitive analysis, and market trend monitoring to inform priorities.
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Represent the voice of the customer in technical and strategic discussions.
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Performance Monitoring
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Define product KPIs and track AI system performance post-launch.
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Iterate on models and features based on user feedback, data signals, and business outcomes.
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Preferred Qualifications:
Required
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Education: Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or related technical field.
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Experience: 4+ years of product management experience, with 2+ years in AI/ML-related products or platforms.
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Technical Fluency: Solid understanding of ML workflows, model development, data pipelines, and inference constraints.
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Execution Skills: Strong experience with agile methodologies, backlog management, sprint planning, and stakeholder communication.
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Analytical Thinking: Ability to use data and experimentation to drive decision-making and prioritization.
Preferred
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Master’s degree or Ph.D. in AI, HCI, Business Analytics, or equivalent technical discipline.
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Experience working with foundation models, conversational agents, or applied deep learning.
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Familiarity with MLOps tools and AI deployment stacks (e.g., Vertex AI, SageMaker, MLflow).
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Background in human-centered design or ethics in AI.
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Product management certifications (e.g., Pragmatic Institute, AIPMM, or CSPO).
