Ameur Khelifa

•Led the end-to-end product lifecycle for a complex, AI-driven fleet optimization product, from initial conception, PRD development, and design through to launch and iteration, successfully taking a highly technical product to market. •Defined and executed the product strategy and roadmap leading 10+ engineers, UX, and solution architects to optimize asset life by 10%, resulting in an estimated $50M/year in operational savings for clients. •Collaborated with sales and marketing teams to articulate product value propositions, supporting the development of go-to-market strategies for enterprise AI solutions.

•Designed, developed, and led the deployment of a B2B sales forecasting application using machine learning, achieving a 20% accuracy improvement at scale. •Communicated complex technical findings, model architecture, and integration plans to senior client leadership (50+ stakeholders). •Conceptualized new data-driven B2C/B2B initiatives (SaaS, embedded finance), aligning advanced technical capabilities with business needs and securing ~$10M for incubation.

•Served as technical lead in developing a complex, algorithm-centric ML trading algorithm (Q-Learning/Deep Q-Learning) over a 9-month project. •Applied deep Q-learning to improve optimal portfolio liquidation in a limit order book, resulting in a 2% performance uplift over existing methods.

•Collaborated cross-functionally with stakeholders (CIO, IT Managers) via 30+ workshops to define a 3-year, $10M IT Master Plan. •Prepared and delivered strategic presentations outlining the IT roadmap to senior management.