Staff Product Manager, AI‑Driven Search & Discovery

Coursera

Mountain View (CA)

On-site

USD 188,000 - 236,000

Full time

14 days+

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Job summary

Coursera is seeking a senior product leader to shape the next generation of search experiences across its product suite. You will collaborate with engineering, design, data science, and university partners to build a seamless, personalized learner journey powered by ML/AI.

The role emphasizes hands-on ownership, measuring impact, and delivering real-world value for a global, multilingual audience. You will drive a roadmap with marketing, growth, and partnerships teams, ensure data-driven

Qualifications

5+ years of product management experience with direct responsibility over the success of a consumer-facing product and driving revenue.
2+ years of PM experience working on search, personalization, or recommendation features.
Proven track record of successfully delivering complex and impactful product initiatives from ideation to launch.
Experience using a combination of quantitative (A/B testing and multivariate experimentation) as well as qualitative research methods to prioritize and validate ideas.
Demonstrated ability to influence and inspire cross-functional teams through communication and collaboration.
Direct experience in scaling platform-level capabilities that serve multiple use cases.
4+ years in a product team at a large ecommerce company (preferred).
0-to-1 experience taking products from idea to launch, with proven results post-launch (preferred).
Bachelor’s degree in a technical or relevant field (preferred).

Responsibilities

Set the vision for next-generation capabilities that help users discover the right learning content by creating a compelling, hyper-relevant and personalized search experience.
Own conversational search across Coursera, working with other product teams to ensure a seamless and integrated AI experience for learners throughout the learner journey.
Improve the accuracy of search results through innovative tactics, leveraging advances in IR/ML, embeddings, and LLMs to improve query understanding, semantic and multilingual search, personalized ranking, and much more.
Employ rapid experimentation techniques to understand evolving market trends, user behaviors, and potential opportunities.
Utilize market trends and competitor analysis to identify opportunities for revenue growth and innovative ways to personalize the learner experience.
Define and track key performance indicators (KPIs) to measure the effectiveness of conversion and merchandising efforts to make data-driven recommendations for continuous improvement.
Work closely with Marketing and other Product teams to align conversion strategies with overall business objectives and revenue targets.