Job description

Job Title: Senior Product Manager, Search and Discovery Position Type: Full Time Location: Brea, CA, USA Salary Range / Rate: $150,000 - $230, 000 (USD) Job ID#: 174603 Job Description: The Senior Product Manager, Search & Discovery will own the systems and product experiences that help customers efficiently find, explore, and engage with the right products across the platform. This role will define product strategy, roadmap, and delivery plans by working backward from search and discovery goals and targeted business outcomes, including improvements in search relevance, query understanding, conversion rate, click-through rate, null/lowresult rate, search-driven GMV, and overall customer satisfaction. The role will partner closely with engineering, data Science, analytics, merchandising, UX Design, and content teams to build and evolve end-to-end search and discovery capabilities. Responsibilities: • Own the end-to-end product strategy and roadmap for search and discovery systems. • Drive improvements in key metrics including search relevance, CTR, conversion rate, null/low-result rate, and search-driven GMV. • Lead development of core search and discovery capabilities, including: • Query understanding and intent recognition • Search ranking and relevance optimization • Autocomplete and query suggestions • Browse and navigation taxonomy • Personalized search and recommendations • Search analytics and performance dashboards • Content discovery and merchandising integration • Search result presentation, including trust signals, product differentiation, and information architecture • Partner closely with Engineering and Data Science teams to define model objectives, evaluate performance, and translate ML capabilities into product features. • Collaborate with Merchandising, Content, and UX teams to improve product discovery and overall customer experience. • Establish clear success metrics, conduct root-cause analysis, and translate insights into actionable product improvements. • Drive alignment across cross-functional stakeholders and ensure strong execution across distributed teams. Requirements: • 5+ years of Product Management experience delivering scaled search, discovery, or recommendation systems within e-commerce, marketplace, or content platform environments. • Deep understanding of search and information retrieval concepts, including: • Query parsing • Intent classification • Ranking algorithms • Indexing • Recall and precision trade-offs • Relevance tuning • Strong knowledge of search and discovery metrics, including CTR, conversion rate, null-result rate, MRR, NDCG, search exit rate, add-to-cart rate, and search- attributed GMV. • Strong analytical and structured problem-solving skills, including root-cause analysis, problem framing, success-metric definition, and translating insights into product/system capabilities. • Experience working with Machine Learning and Data Science teams to define model objectives, evaluate model performance, and translate ML capabilities into product features. • Proven ability to influence and align stakeholders across engineering, data Science, merchandising, content, and other cross-functional teams. • Leadership experience working with distributed or remote engineering teams across multiple time zones and geographies. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at intelliprogroup.com . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Requirements

Must-haves

Job Title: Senior Product Manager, Search and Discovery
Position Type: Full Time
Location: Brea, CA, USA
Job ID#: 174603
Own the end-to-end product strategy and roadmap for search and discovery systems.
Drive improvements in key metrics including search relevance, CTR, conversion rate, null/low-result rate, and search-driven GMV.
Lead development of core search and discovery capabilities, including: • Query understanding and intent recognition
Search ranking and relevance optimization
Autocomplete and query suggestions
Browse and navigation taxonomy
Personalized search and recommendations
Search analytics and performance dashboards
Content discovery and merchandising integration
Search result presentation, including trust signals, product differentiation, and information architecture
Partner closely with Engineering and Data Science teams to define model objectives, evaluate performance, and translate ML capabilities into product features.
Collaborate with Merchandising, Content, and UX teams to improve product discovery and overall customer experience.
Establish clear success metrics, conduct root-cause analysis, and translate insights into actionable product improvements.
Drive alignment across cross-functional stakeholders and ensure strong execution across distributed teams.
5+ years of Product Management experience delivering scaled search, discovery, or recommendation systems within e-commerce, marketplace, or content platform environments.
Deep understanding of search and information retrieval concepts, including:
Query parsing
Intent classification
Ranking algorithms
Recall and precision trade-offs

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: jazzhr
Effort: medium