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Rodrigo Figueras
AI & Product leader using Gen AI & WhatsApp API to improve financial inclusion in LatAm. Advisor.
Professional Background
Rodrigo Figueras is a highly accomplished professional in the technology sector, currently serving as the Head of Product for Gen AI products at Stori. With a fervent passion for artificial intelligence, he possesses a wealth of experience in product management, automation, and team leadership—the perfect combination for developing innovative AI-based products that meet the evolving needs of customers and businesses alike. His career trajectory reflects a steadfast commitment to the growth and enhancement of consumer, enterprise SaaS, and AI products, as well as a focus on strategic implementation and team-building that targets crucial customer and business challenges.
Rodrigo's technology career began with entrepreneurship, where he founded several startups, culminating in a notable venture that was acquihired by Yalo—an industry leader in chatbot technology and conversational commerce. At Yalo, Rodrigo played an integral role in refining the company’s go-to-market strategy, enhancing product offerings, and advancing their artificial intelligence capabilities. This pivotal experience sharpened his skills and provided him with the tools to confront the unique challenges faced by early-stage startups, as well as to steer growth effectively within larger, established companies.
In his current role at Stori, Rodrigo is dedicated to developing AI-driven solutions designed to promote financial inclusion across Latin America. His expertise in Gen AI and the WhatsApp Business API positions him at the forefront of innovation in these sectors, paving the way for solutions that can revolutionize customer interactions and deliver remarkable results.
Education and Achievements
Rodrigo's educational background reflects his commitment to understanding and leveraging technology in business. He holds a Master's degree in Internet Business, Digital Marketing, Social Networks, E-Commerce, and Mobile Apps from ISDI, providing him with a strong foundation in the digital landscape. Additionally, he studied Venture Creation and Business Development at the prestigious Tecnológico de Monterrey, further enhancing his entrepreneurial acumen.
His ambition and dedication to ongoing education are evidenced by his participation in the Stanford Summer International Honors Program during both 2014 and 2015, where he focused on Technology Entrepreneurship and Innovation Studies. This experience not only expanded his knowledge but also connected him to a network of innovative thinkers and leaders in technology.
Rodrigo began his formal education with an IB Diploma Programme at Eton School, giving him a broad base in various subjects and preparing him for future studies and business ventures.
Professional Journey
Rodrigo's professional journey is laden with significant roles that showcase his expertise and leadership in product management and AI. Before his current position at Stori, he served as Head of Product for Artificial Intelligence & Automation, and Director of Product at Yalo, where he implemented innovative product strategies and drove initiatives that resulted in substantial growth and better customer engagement.
As a Professor at ISDI, he shared his extensive knowledge by teaching courses on Conversational Commerce and Product Planning, shaping the next generation of technology leaders and entrepreneurs. His ability to convey complex concepts in a relatable manner has made a lasting impact on his students and the broader tech community.
Prior to expanding his career into product management, he was the Head of Sales and Customer Partnerships at Yalo, and made remarkable strides as a Product Manager. His multifaceted background also includes co-founding Kazam App, Urbanity Technologies, and Bengala Media, demonstrating his entrepreneurial spirit and innovative approach towards solving contemporary business challenges.
Achievements
Rodrigo Figueras has a remarkable portfolio of achievements that underscore his qualifications as a distinguished leader in the tech ecosystem. His leadership skills have been instrumental in launching various products that have catered to diverse consumer needs and have transformed how businesses leverage technology in their operations. Through his efforts, he has successfully scaled numerous startups, thereby cementing his reputation as a product visionary.
His contributions towards fostering financial inclusion in Latin America through technology serve as a testament to his commitment to making a positive impact in the community. By developing AI-driven solutions, he plays a vital role in empowering underrepresented populations and ensuring that they have access to essential financial services.
Community engagement and knowledge sharing are cornerstones of Rodrigo's professional philosophy. His initiative to teach and mentor aspiring tech professionals demonstrates not only his expertise but his dedication to nurturing talent within the industry. As a
Highlights
No hay atajos, la única forma de volverse un gran prompt engineer es con horas de vuelo...
Ayer estuve en un masterclass de prompt engineering con Zack Witten de Anthropic y lo que más me llamó la atención fue cuánto del skill se reduce a una sensibilidad – adquirida luego de horas y horas de pruebas – sobre cómo se va a comportar el modelo con pequeños cambios a tus prompts.
Hicimos live editing de prompts de empresas reales y noté cómo las respuestas a muchas preguntas tipo "cómo sabes si X cambio va a funcionar mejor que Y?" se reducía a "tienes que probar ambas, pero el modelo siempre me ha respondido mejor con X".
Es cierto que siempre hay que tener frameworks de evaluación...
...pero al final del día los mejores prompt engineers serán aquellos que hayan desarrollado esa sensibilidad o "feeling" más abstracta (pero más valiosa) sobre cómo se comporta cada modelo y qué tipo de prompts funcionan mejor.
Y eso solo lo dan las horas de vuelo...
Encontrar el balance entre flexibilidad y fiabilidad de las respuestas es una de las cosas más complicadas al desarrollar agentes de AI.
Por suerte empezamos el AI.Engineer World's Fair con Lance Martin de LangChain hablando sobre cómo desarrollar Agentes de AI con Langgraph.
Por un lado, usar chains aumenta la fiabilidad, y le permite al desarrollador determinar el flujo de control, pero limitan el poder de decisión que tiene el LLM.
Por el otro, darle todo el poder de decisión al LLM aumenta la flexibilidad del agente, pero no siempre llega a la respuesta correcta (o lo hace de formas muy inneficientes).
Langgraph es un punto medio interesante que permite a los desarrolladores especificar un flujo de control a alto nivel, sin limitar todo el poder de decisión del LLM.
Sin duda algo que puede reducir mucho el gap entre prototipo y producción y algo que vale la pena probar y tomar en cuenta al decidir cómo vamos a implementar nuestros proyectos de AI.
