Staff Product Manager, Coursera

• Experience building consumer products at scale—ideally high-intent search, discovery, or marketplace experiences—with a strong understanding of intuitive, trustworthy UX and backend search capabilities
• 5+ years of product management experience owning the success of consumer-facing products, including responsibility for driving engagement and revenue outcomes
• 2+ years of hands-on PM experience with search, personalization, or recommendation systems, including platform-level capabilities that support multiple use cases
• Proven ability to deliver complex, high-impact product initiatives from ideation through launch, using both quantitative (A/B and multivariate testing) and qualitative research to inform decisions
• Demonstrated strength in influencing and inspiring cross-functional partners through clear communication, collaboration, and shared vision

Desirable

• In this pivotal role, you will set the strategic vision for Coursera's search experience across our diverse product suite by working collaboratively with cross-functional teams to ensure a seamless, personalized, and ML/AI-driven learner experience
• The best candidates are extremely hands-on, obsessed with the learner journey, and opinionated about how AI can make finding the right course, credential, or skill path effortless for a global, multilingual audience
• You will collaborate with engineering, design, research, data science, ML, and university partnership teams to contribute to the development of your product roadmap
• You will work closely with marketing, partnership managers, and growth product teams to ensure the successful growth of the product
• Set the vision for next-generation discovery and search experiences that help learners find the right content through highly relevant, personalized, and AI-driven experiences
• Own conversational search across Coursera, partnering with cross-functional product teams to deliver a seamless, end-to-end AI experience throughout the learner journey
• Improve search relevance and quality by leveraging advances in IR/ML, embeddings, and LLMs to enhance query understanding, semantic and multilingual search, and personalized ranking
• Drive rapid experimentation to understand evolving learner behaviors, market trends, and growth opportunities, using data to inform strategy and product decisions
• Leverage market insights and competitive analysis to identify opportunities for revenue growth and differentiated personalization across the platform
• Define, track, and optimize KPIs related to discovery, conversion, and merchandising, collaborating closely with Marketing and Product partners to align with business and revenue goals