Pinterest is a platform where millions find creative ideas and plan for lasting memories. They are seeking a passionate and strategic AI/ML Product Director to drive personalized experiences, working across Engineering, Data Science, and Design to deliver innovative AI and ML solutions.
Responsibilities:
- Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste
- Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI
- Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives
- Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest’s Curation portfolio
- Autonomously navigate and resolve complex, ambiguous product challenges—and influence product strategy across multiple teams
Requirements:
- Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus)
- Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack
- Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts
- Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features
- Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals
- Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch
- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience