Staff Product Manager, Applied Science

Pinterest · San Francisco, CA, US; Remote, USRemoto

En corto

▸Liderar el producto de sistemas de IA/ML que personalizan experiencias en Pinterest.
▸Trabajar con ciencia, ingeniería y producto para construir infraestructura escalable y de alto impacto.
▸Destacado: el rol está en el corazón de la innovación de IA aplicada en una plataforma de descubrimiento con 500M+ usuarios.

Proficiency in English required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia comprobada como Product Manager en sistemas de IA/ML o plataformas de recomendación.
✓Capacidad para definir visión y roadmap en áreas técnicas como embeddings, señales y modelos de ranking.
✓Habilidades avanzadas de colaboración con equipos de ciencia de datos e ingeniería.
✓Comprensión profunda de sistemas de recomendación y aprendizaje por representación.
✓Experiencia en balancear innovación, escalamiento y salud a largo plazo de plataformas.
✓Capacidad para explicar y justificar decisiones de producto con claridad y rigor.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Recommender SystemsRepresentation LearningSignalsEmbeddingsFeature LayersUnified ModelsRanking SystemsBehavioral UnderstandingML InfrastructurePersonalized Discovery

¿A quién escribirle en Pinterest?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is where more than half a billion people come to find what they love and build a life around it. That experience depends on deep understanding — understanding what a Pinner loves, what a Pin means, and how to surface the right content at the right moment. Across recommender systems, signals, and representation learning, the Applied Sciences team develops the next generation technologies that power personalized discovery across Pinterest. We’re looking for Staff Product Managers to help shape the next chapter of Pinterest’s applied AI/ML platform. In these roles, you’ll bring together research ambition and product discipline to help define the future of personalized experiences at one of the world’s leading discovery platforms. The roles Applied Sciences at Pinterest spans core areas including representation learning, signals, and recommender systems. This work includes embeddings, shared feature layers, unified models, ranking systems, and behavioral understanding that support retrieval, ranking, ads, and personalized experiences across Pinterest. These are scaled systems and infrastructure that teams across the company depend on, and every innovation compounds to our top line goals. Pinterest’s work in this space is grounded in a few core principles: using historical user data to understand evolving preferences, developing models and systems that can support multiple tasks and surfaces, and maintaining infrastructure in a cost-conscious way to support sustainable scale across hundreds of millions of users. As a Staff Product Manager on Applied Sciences, you’ll partner closely with science, engineering, research, and product teams across Pinterest to help define the roadmap, abstractions, and product strategy that make this work broadly useful across the company while strengthening the shared foundation. You’ll help balance innovation, adoption, scale, and long-term platform health. Learn more about our work: Representation learning: https://labs.pinterest.com/research-and-innovation/representation-learning Recommender systems: https://labs.pinterest.com/research-and-innovation/recommender-systems What you'll do • Help shape the product vision and roadmap across key areas of Pinterest’s Applied Sciences portfolio, including representation learning, signals, and recommender systems. • Partner with teams across Pin

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