Yassine Sahnoune

As Head of Products at Aware, reporting directly to the CEO, I led the product strategy and execution, driving end-to-end product development while ensuring alignment with business goals. I built and scaled a strong, high-performance product team, enabling the delivery of innovative solutions that directly addressed customer problems.

- Product Strategy & Execution: Defined and executed product strategy and roadmap, ensuring alignment with business goals and market trends. Applied Lean practices to prioritize high-impact features and streamline delivery.

- Team Leadership & Collaboration: Built and scaled a high-performance product team, driving cross-functional collaboration across engineering, design, and marketing to deliver impactful, user-focused products.

- User-Centricity and Discovery : Led user-centered product development by prioritizing user needs and behaviors, using market and competitive analysis to refine product features. Continuously optimized the feedback loop to enhance product iterations and align with customer expectations.

Key Achievements:

- Launched 4 profitable products, contributing significantly to revenue growth.

- Increased customer retention by 80% and enhanced time-to-market and feedback loop efficiency.

- Gained critical learnings from challenges faced during scaling, enabling more effective pivoting and decision-making in future projects.

Responsible for leading and developing Finance-related use cases within ITMAI in collaboration with internal and external teams.

Key Achievements:

- Led and motivated cross-functional teams, driving product vision, roadmap, and execution, including the construction of the data factory.

- Oversaw end-to-end product development, ensuring high-quality increments, seamless technical integration, and the successful implementation of the data factory.

- Built and scaled a high-performing team, fostering collaboration and ensuring the delivery of valuable product features, while supporting the data factory initiative.

Product Strategy & Execution : After analyzing user behavior, I identified key insights that helped build a strong business case for an internal recommendation system, aligning with overall business goals. Following a presentation to the C-level team, we secured funding to develop and launch an MVP to validate our hypotheses. With the success of the MVP, we scaled the solution, expanded the team, and secured further investment to drive continued growt

Key Achievements:

- Successfully launched and deployed two versions of a machine learning-based recommendation system for passive search on iOS and Android, with real-time predictions and 600 requests/sec.

- Increased user retention and average visit rate per listing by 20%.

Tech Stack: Word2Vec, AWS (S3, EC2, EMR, SageMaker, EKS), Docker, Kubernetes, Kafka.

WORK HISTORY