Job Purpose
The Senior Product Manager leads strategy, innovation, and execution for AI-driven product lines. The role drives rapid experimentation, aligns cross-functional teams, and ensures successful integration of AI across products.
Key Responsibilities
Product Strategy & Vision
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Define product vision, strategic roadmap, and performance metrics for AI products
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Identify high-impact AI opportunities aligned with user needs and business goals
Execution & Delivery
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Lead cross-functional squads across engineering, AI, design, and business stakeholders
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Drive rapid prototyping and iterative experimentation of AI solutions
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Manage prioritization, sprint planning, and feature delivery cycles
AI Integration & Evaluation
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Integrate AI capabilities into product workflows responsibly and effectively
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Build evaluation datasets, test frameworks, and performance criteria for AI features
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Validate user impact, reliability, and model performance
Stakeholder Management & Communication
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Communicate vision, roadmap, and risks to leadership and internal teams
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Collect insights from customers, partners, and market research to refine direction
Cross-Functional Collaboration
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Partner closely with engineering, AI, data, cybersecurity, and design teams to ensure seamless delivery of AI-powered features
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Align product requirements with technical constraints, security standards, and operational considerations
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Facilitate coordination between business units, government stakeholders, and technical teams to ensure unified execution
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Drive collaboration across dependencies, resolving blockers and ensuring shared ownership of outcomes
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Maintain transparent communication channels to support alignment, decision-making, and issue resolution across all teams
Qualifications & Requirements
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Bachelor's degree in Business, Computer Science, Engineering, Product Management, or related field
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6-10+ years of experience in product management, including experience with AI/ML-driven products
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Strong understanding of AI concepts, prototyping, user behavior, and experimentation
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Demonstrated success leading cross-functional teams
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Excellent communication, prioritization, and analytical skills
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Experience with AI product evaluation, dataset development, or LLM-based features
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Background in enterprise platforms or government digital solutions