Geo Jolly is a product leader with expertise in building artificial intelligence, machine learning, and big data systems. He works at Glovo as a Technical PM, applying product management discipline to the internal platforms that data science and engineering teams depend on.

His path to product leadership runs through hands-on technical work: he moved from web development into data science and then into product management, an evolution that helps him bridge conversations between engineers, data scientists, and business stakeholders. At Glovo he works on MLOps platform strategy and vendor evaluation, treating internal platform users as customers and taking the usability of developer tooling seriously, because poor tooling UX has real productivity costs.

Geo’s day-to-day covers the full scope of the ML product role: roadmaps, specs, and backlog prioritization; outcome-driven problem definition that avoids solution bias; ML observability and the KPIs that measure platform impact; release governance and rollout timing; and adoption strategy for internal stakeholders. He also brings practical perspective on model validation, machine learning quality assurance, and the engineering roles needed to deliver reliable platforms.