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.