Technical AI Product Manager · Google
GABRIELA
CABALLERO.
I make AI useful and understandable — building the retrieval systems that ground it, and telling the stories that help everyone benefit from it, not just the most technical.
Today I work on Context & Retrieval in Google's AI Foundations. Before that I made YouTube videos shoppable with multimodal AI, brought Tables to Google Sheets, and helped Google Maps understand the world through photos. Engineer by training, storyteller by nature.
What drives me
Ground AI in what's true
I'm drawn to the ambiguous problems underneath AI: retrieval, evaluation, and turning messy data into something a model — and a person — can trust.
AI for everyone, not just experts
Education is freedom. I care about products, and explanations, that let non-technical people get the same value from AI as the most technical ones.
Stories that build bridges
Engineer from Argentina, PM across four cities. I mentor women and Latinas breaking into tech and write about life between two worlds.
Right now
- Building
- Retrieval and context for AI at Google, in Zurich.
- Writing
- On Substack, about AI, product and expat life.
- Reading
- Neuroscience: how memory and the brain shape our daily habits.
- Mentoring
- Aspiring PMs and women in tech, with Girls Who Code and Google APMs.
- Off the clock
- Dancing, running by the lake, travel, and specialty coffee.
As seen in
- YouTube · 2024Entrevista con Gabriela Caballero — Cómo conseguir trabajo en el extranjeroDeep dive into the international tech landscape and relocation strategies.
- YouTube · 2024De Argentina a Londres como Product ManagerPersonal journey from Córdoba to London's tech scene.
- Google OnAir · 2024Beyond SWE: Exploring Non-Engineering Roles in TechPanel discussion about product and strategy roles at Google.
- YouTube · 2024Product Manager InterviewIn-depth interview about the PM craft and breaking into tech.
- Google OnAir · 2024Taller de Proyectos PersonalesWorkshop on building impactful personal projects for your career.
Made it this far out of pure curiosity (or boredom)? Pretend you're training an ML model. You're welcome. 🚀