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
