# Working at the intersection of data and AI with Kenza Boulisfane

DevFeed: [Working at the intersection of data and AI with Kenza Boulisfane](<https://devfeed.tech/articles/working-at-the-intersection-of-data-and-ai-with-kenza-boulisfane-24727.md>)

Original publisher: [Read original article](<https://medium.com/thumbtack-engineering/kenza-boulisfane-software-engineer-at-thumbtack-works-at-the-intersection-of-data-ai-and-real-698baf02bba8?source=rss----1199c607a13f---4>)

Author: Thumbtack People Team

Published: 2026-03-05T19:31:06Z

Content type: article

Language: en

Sources: [Thumbtack Engineering - Medium](<https://devfeed.tech/sources/thumbtack-engineering-medium.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [data](<https://devfeed.tech/topics/data.md>), [recommendations](<https://devfeed.tech/topics/recommendations.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [careers](<https://devfeed.tech/tags/careers.md>), [data](<https://devfeed.tech/tags/data.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [recommendations](<https://devfeed.tech/tags/recommendations.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [technology](<https://devfeed.tech/tags/technology.md>)

## AI overview

In a Q&A, Thumbtack software engineer Kenza Boulisfane discusses building an AI-powered Marketing Analytics Agent. The tool is intended to help people across the company ask questions about marketing performance, receive data-backed recommendations, and explore results in real time without requiring SQL expertise. She also describes the challenges of unifying fragmented, differently defined marketing data and translating it into clear insights.

## Source excerpt

Kenza Boulisfane, Software Engineer at Thumbtack, works at the intersection of data, AI, and real business impact. In this Q&A, she shares how she's building an AI-powered Marketing Analytics Agent designed to make complex marketing data accessible to everyone. She also reflects on team culture, technical challenges, and why diverse perspectives make engineering stronger. What are you currently working on? I'm working on building a Marketing Analytics Agent. It's an AI-powered marketing expert that provides companywide support, regardless of technical background. The idea is simple: marketing data shouldn't require a SQL expert to interpret it. Whether someone is in Data Science, Growth, Brand, or Product, they should be able to ask questions like, "How did paid social perform last week?" or "Why did conversions dip in this channel?" and get a clear, reliable answer. Even better, they should receive thoughtful, data-backed recommendations. Instead of waiting on reports or digging through multiple tools, teams can explore performance in real time, ask follow-up questions, and move faster with confidence. I love that my work sits at the intersection of data, AI, and real business impact. How would you describe the culture of your team? I'd describe my team culture as genuinely supportive. People are always willing to jump in, answer questions, share context, or sanity-check an idea, regardless of how busy they are. We're in it together, and that makes tackling ambitious projects feel a lot less daunting. At the same time, we don't take ourselves too seriously. Some of my favorite moments have been at offsites when we play games and you suddenly see everyone's competitive side come out. It's funny how the same people who are thoughtfully debating technical implementation during the day are fully locked in trying to win a Mafia/Werewolf round. What are some of the unique technical challenges you get to solve? One of the biggest challenges is turning fragmented marketi