Senior Product Marketing Manager - Copilot Quality

Responsibilities

• Partner across the Copilot portfolio to unify product, customer, and competitive quality signals, standardize how quality is evaluated and communicated, and automate these practices with agentic workflows.
• Identify and prioritize quality gaps across Copilot experiences, separating isolated issues from broader patterns and emerging areas of customer friction.
• Partner closely with Product Management and Engineering to translate quality insights into product action, influencing prioritization, experimentation, and ongoing improvement.
• Help define and evolve evaluation frameworks and quality criteria that assess both technical performance and whether experiences are ready to deliver meaningful value to customers.
• Go deep on product architecture, capabilities, limitations, and emerging experiences to understand why quality issues occur.
• Assess Copilot performance against key competitors, including where we lead, where we are at parity, where we trail, and what is driving those differences.
• Establish automated feedback loops across Engineering, Research, Support, Field, and Marketing so customer and product signals continuously inform product development and prioritization.
• Synthesize insights and data to develop the right views for senior leadership, surfacing progress, risks, emerging issues, and areas requiring attention.
• Translate technical findings into clear implications for customers, marketing, and sales team, connecting product performance to the customer experience.
• Embody our Culture & Values.

Requirements

• Master's Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business OR equivalent experience.

Preferred

• Bachelor’s Degree AND 8+ years experience, OR Master’s Degree AND 6+ years experience
• Experience with AI products, evaluations, benchmarking, experimentation, or data-driven product development.
• Experience using data, customer insights, research, or product signals to influence product strategy and prioritization, not only messaging.
• Ability to connect product, competitive, customer, field, and technical signals rather than assess each in isolation.
• Strong technical curiosity and the ability to quickly develop fluency in AI systems, product architecture, experimentation, evaluation methodologies, and telemetry.
• Strong analytical and critical-thinking skills, including the ability to synthesize quantitative and qualitative information and identify what is material.
• Clear written and verbal communication skills, including the ability to explain complex technical findings and make practical recommendations for senior level audiences.