AI Product Manager

About Alaan

Alaan is the SuperCard™ for businesses and the most loved fintech in the Middle East. Our mission is to simplify finance for businesses so they can save time and money.

Alaan provides everything businesses need to manage and control expenses, including the SuperCard™, AI-powered automation and insights, streamlined accounting, and centralized dashboards, all in one place.

Over 1500 businesses in the UAE and KSA, from startups to enterprises, use Alaan to control spending and save costs.

Backed by Y Combinator and top global investors- including founders and executives of leading startups - Alaan is built by a world-class team from McKinsey, BCG, Goldman Sachs, Barclays, Zomato, Careem, Rippling, and other high-growth companies.

We’re not just building software. We’re reimagining how finance works for modern businesses across the region.

About the role

Alaan is the Middle East’s first AI-powered spend management platform , designed to help businesses save time, control spend, and make smarter decisions. We’ve already shipped meaningful AI features into production, and now we’re scaling our AI team so that intelligence sits at the heart of every product decision.

We’re looking for an AI Product Manager to lead AI-first initiatives from concept to production . You’ll work at the intersection of product, machine learning, and design - framing problems, defining success metrics, running experiments, and collaborating closely with engineering to ship trustworthy, impactful AI experiences.

If you love turning cutting-edge AI into production-ready features that delight customers and deliver measurable business outcomes, this role is for you.

What you'll do

• Discover & Define : Run Jobs-to-Be-Done (JTBD)-driven discovery to identify high-impact AI opportunities. Define north-star and guardrail metrics for success.
• Translate & Scope : Turn product problems into clear AI / ML approaches—such as supervised learning, NLP, LLMs, or retrieval systems—setting targets for accuracy, latency, and reliability in partnership with ML and engineering teams.
• Plan Experiments : Design offline and online evaluations, including A / B tests. Ship iteratively with crisp PRDs, clear hypotheses, and measurable success criteria.
• Design Trustworthy AI UX : Incorporate explanations, confidence indicators, fallback mechanisms, and human-in-the-loop strategies where needed.
• Drive Adoption : Partner with GTM teams to drive awareness and usage. Instrument analytics, track outcomes, and communicate results and learnings across the company.

What we're looking for

4+ years of relevant experience in :

What's in it for you