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