Senior Product Strategist — AI-Native & Growth

Meta; Augusta (ME); On-site; USD 205,000 - 277,000; Full time

Job summary

Meta is seeking a senior Product Staff leader to drive AI-native product initiatives across web and mobile experiences. You will guide strategy, roadmaps, and cross-functional execution with engineers, designers and data scientists, emphasizing rapid experimentation and responsible AI.

You will shape opportunities, evaluate trade-offs, and scale AI-driven workflows to improve velocity and product outcomes, balancing business impact with user trust and governance.

Qualifications

• 10+ years of experience collaborating with engineering, design and user research teams.
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution.
• Proficiency using AI-enabled tools to build product artifacts at scale.
• Experience developing and championing AI-native strategies across organizations.
• Critical thinking and analytical leadership experience.

Responsibilities

• Drive product development with teams of engineers and designers, while maintaining team health.
• Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources, develop roadmaps, and guide milestones.
• Reimagine workflows, using AI tools to transform velocity and capability at organizational scale.
• Foster rapid experimentation and learning to create competitive advantage.
• Scale AI best practices and data-driven workflows across the organization.

Skills

Cross-functional collaboration

Product lifecycle

PM/PD experience

Executive presentation

AI-enabled tools

AI strategy

Analytical thinking

Education

BA/BS in Computer Science or related field

Job description

Meta is seeking a senior Product Staff leader to drive AI-native product initiatives across web and mobile experiences. You will guide strategy, roadmaps, and cross-functional execution with engineers, designers and data scientists, emphasizing rapid experimentation and responsible AI.

You will shape opportunities, evaluate trade-offs, and scale AI-driven workflows to improve velocity and product outcomes, balancing business impact with user trust and governance.