Product Manager II, Search Experience

Summary

Pinterest is a visual discovery platform that helps people find creative ideas, plan experiences, and move from inspiration to action. The Product Manager II, Search Experience will develop Pinterest’s search strategy and roadmap, build AI/ML-powered search features, improve search quality, and collaborate with cross-functional teams to drive product execution.

Responsibilities

• Develop and execute a cohesive Search strategy and roadmap in close partnership with Executive, Product, Engineering, Design and other cross-functional stakeholders
• Build innovative new Search features that tap into the unique user intents on Pinterest. You’ll create products that help users find inspiration, browse products and ultimately find the item they want to buy
• Investigate and hypothesize opportunities to improve the quality of search experience on Pinterest
• Partner closely with a wide range of disciplines including engineering, data science, design, research, marketing, legal, strategy, and other product managers to define, measure, and drive execution

Skills

• • Strong product sense: Strong product sense and ability to collaborate and get buy-in from stakeholders while setting a longer term vision
• • Experience building AI/ML products: Demonstrated success in product management or related experience at fast-growing companies particularly working on AI/ML based products
• • Bring structure to ambiguity: Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment
• • Expert at weaving together data, user feedback, and intuition: Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners
• • Technical strength: You'll partner closely with Engineering teams working with a wide variety of technologies, including Machine Learning
• • Bachelor's degree in a relevant field such as computer science or equivalent experience
• • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
• •US based applicants only
• • Previous experience in search is a plus but not required

Qualifications

Must Haves

• • Strong product sense: Strong product sense and ability to collaborate and get buy-in from stakeholders while setting a longer term vision
• • Experience building AI/ML products: Demonstrated success in product management or related experience at fast-growing companies particularly working on AI/ML based products
• • Bring structure to ambiguity: Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment
• • Expert at weaving together data, user feedback, and intuition: Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners
• • Technical strength: You'll partner closely with Engineering teams working with a wide variety of technologies, including Machine Learning
• • Bachelor's degree in a relevant field such as computer science or equivalent experience
• • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
• •US based applicants only

Nice to Haves

• • Previous experience in search is a plus but not required

Benefits

• The position is also eligible for equity.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.