Senior Merchandising Manager

Coursera Sourcing•Mountain View, CA

12h•$180,800 - $273,500

About The Position

The supplied job description contains a discrepancy: its title is “Senior Merchandising Manager,” but the Job Overview and qualifications describe a Principal Product Manager, AI role at Coursera. The described role is a strategic individual-contributor position on a small, high-impact team, focused on defining Coursera’s AI strategy and accelerating priority AI initiatives. It identifies opportunities to use advances in AI to create value for learners, educators, institutions, and enterprise customers, and leads AI-powered products and experiences intended to improve learning outcomes and drive business impact. The position calls for strong product judgment, fluency in modern AI technologies, and the ability to turn emerging capabilities into products with measurable value at scale. The role defines strategy, roadmaps, investment priorities, and success measures for AI products and platform capabilities; leads initiatives from concept through launch and scale; and works with cross-functional teams to deliver AI solutions responsibly. It also advises product and executive leadership on AI technologies, industry trends, and future opportunities. The posting gives US zone-based compensation ranges, but does not specify a single applicable range or work location.

Requirements

10+ years of product management experience leading development and launch of technology products.
Experience building and launching AI-powered products in which large language models, generative AI systems, AI agents, or intelligent automation were central to the customer experience.
Experience leading 0-to-1 product initiatives from concept validation through commercial launch.
Experience owning product strategy and execution in ambiguous, emerging, or rapidly evolving technology areas.
Experience developing experimentation frameworks, evaluation methodologies, quality metrics, or performance measurement systems for AI-powered products.
Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field, or equivalent practical experience.

Nice To Haves

Experience applying AI technologies such as large language models, agentic systems, intelligent workflows, recommendations, personalization, or automation to solve customer problems at scale.
Experience developing approaches to evaluate AI quality, reliability, trust, safety, and customer outcomes.
Experience incorporating advancements in AI capabilities into product strategy, roadmap planning, and execution.
Experience leading cross-functional initiatives with senior stakeholders in high-growth or technology-driven organizations.
Experience in education technology, workforce development, enterprise software, productivity software, developer platforms, or other technology products serving large and diverse customer bases.

Responsibilities

Define and drive strategy, roadmap, and investment priorities for AI-powered products, experiences, and platform capabilities.
Lead high-priority AI initiatives from concept through launch and scale, aligning teams and making strategic tradeoff decisions.
Identify opportunities to apply AI to improve content discovery, skill development, engagement with learning experiences, and educational and career outcomes.
Partner with Engineering, Design, Data Science, Legal, and Go-to-Market teams to deliver AI-powered solutions responsibly and effectively.
Define success metrics, experimentation frameworks, and evaluation methodologies for AI quality, learner outcomes, customer value, and business impact.
Advise product and executive leadership on emerging AI technologies, industry trends, and opportunities for Coursera.