Senior Product Manager

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.
• 6–10+ 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.