Sr. Staff Quantitative Product Researcher

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

In short

▸Líder en desarrollo de métricas centradas en el usuario, desde diseño de encuestas hasta modelos predictivos.
▸Trabaja de forma equitativa con Ciencia de Datos e Ingeniería para definir y mantener sistemas de medición confiables.
▸Destacado en el uso de IA para mejorar procesos de investigación y toma de decisiones.

Experiencia trabajando en entornos multiculturales o con equipos internacionales es valora

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What they ask for

✓Experiencia sólida en metodología de encuestas y validación de métricas
✓Capacidad para liderar proyectos de medición desde cero
✓Conocimiento avanzado en análisis de comportamiento y experimentación
✓Habilidades para colaborar como socio igual con equipos de DS e Ingeniería
✓Experiencia en modelado estadístico y evaluación de modelos
✓Capacidad de comunicar hallazgos complejos a audiencias de alto nivel

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Análisis de comportamientoExperimentaciónModelado estadísticoValidación de métricasEncuestasProxies conductualesModelos predictivosReentrenamiento de modelosEvaluación de generalizaciónAnálisis de levers

Who should you write to at Pinterest?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 looking for a Sr. Staff Quantitative Product Researcher to lead the development and evolution of user-centered measurement across our consumer experience. As the volume of measurement asks grows, we need a seasoned researcher who can partner with Data Science and Engineering as an equal — not just contributing to metrics work, but guiding it end-to-end and shaping the direction of how we measure the Pinner experience. In this role, you'll own the full arc of measurement work: identifying what we should be measuring, designing surveys that capture the constructs that matter, validating that our metrics are reliable and sensitive, guiding experimentation plans to prove they can move, and partnering with DS and Eng to build behavioral proxies or predictive models where they're needed. You'll also extend this work into how we evaluate and maintain the systems that depend on these metrics — informing when models need retraining, whether they generalize across user segments, and what levers actually move the outcomes we care about. You'll bring expertise in behavioral analysis, statistical modeling, survey methodology, and experimentation to strategic questions on the holistic Pinner experience, and you'll present findings to senior audiences and partner with leaders to turn learnings into strategy. What you’ll do: • Lead the development of user-centered metrics end-to-end: define the construct, design and validate the survey instrument, establish reliability and sensitivity, guide the experimentation plan to prove the metric can move, and partner with DS and Eng to build behavioral proxies or predictive models when appropriate • Extend measurement work into model stewardship — inform retraining decisions, evaluate generalizability across user segments, and stress-test where models do and don't hold up • Conduct deep-dive learning analyses to uncover the drivers and levers behind key metrics, and translate those into actionable direction for product and DS partners • Set and execute the learning agenda across a broad problem space — prioritize the questions that matter most, choose the right methods (surveys, behavioral analysis, quasi-experimental approaches, modeling), and work on the right project at the right time • Show up as an equal partner to Data Science and Engineering, shaping the direction of measurement work rather than executing against someone else's spec • Synthesize across behavioral analyses, experiment results, qualitative insights, and your own work to inform product and

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