Glovo CTO Shiro Theuri Is a Guardian for Benefiting From AI

Why It Matters

Embedding AI responsibly boosts Glovo’s operational efficiency and talent retention, giving it a competitive edge in the crowded on‑demand delivery market.

Key Takeaways

• AI adoption accelerates Glovo's software delivery speed
• CTO emphasizes responsible AI with human-in-the-loop checks
• Talent development focus spans junior local and senior global hires
• AI-driven conversational ordering faces user adoption challenges
• Delivery Hero partnership boosts cloud infrastructure leverage

Pulse Analysis

Artificial intelligence has become a cornerstone for digital‑first logistics firms seeking to shrink development cycles and improve product quality. At Glovo, CTO Shiro Theuri reports that AI tools are now embedded in daily engineering workflows, enabling code generation, automated testing, and faster feature rollouts. Yet she stresses that speed cannot come at the expense of ethics; a dedicated guard‑rail team enforces responsible‑AI policies and maintains a human‑in‑the‑loop review process. This balanced approach not only accelerates delivery of new services but also safeguards the brand against algorithmic bias and compliance risks.

Glovo’s talent strategy mirrors its technological ambition, leveraging Barcelona’s emergence as a European digital‑skills hub while tapping the deep pool of senior engineers across Africa. Theuri oversees a 400‑person engineering organization that blends junior talent recruited locally with experienced developers from Nairobi, Lagos and other African tech centres. The recent acquisition by Delivery Hero has unlocked stronger relationships with global cloud hyperscalers, granting Glovo access to scalable infrastructure at favourable terms. By coupling local university partnerships with cross‑border hiring, the company builds a resilient workforce capable of sustaining rapid AI‑driven innovation.

On the consumer front, Glovo is testing AI‑powered conversational ordering and autonomous delivery pilots, but early feedback shows that voice‑based ordering still feels unnatural to many users. The company therefore prioritises incremental rollouts, using data to gauge adoption curves before committing to large‑scale deployment. As AI matures, Glovo expects to shift more of the ordering experience to predictive personalization while expanding drone and robot fleets for last‑mile fulfillment. Theuri’s stewardship illustrates how a delivery platform can harness AI to boost efficiency, protect its workforce, and stay ahead in an increasingly competitive on‑demand market.