Muhammad Hassan Ali

• Owned product strategy and end-to-end delivery for Jeeny’s Driver Experience portfolio across KSA and Jordan, covering marketplace pricing, driver monetization, earnings transparency, engagement, mobile experience, internal tools, and operational automation.


• Launched a Cockpit-configurable Dynamic Driver Commission engine with ride-level rules across KSA, plugging commission leakage and generating $350K+ in annual savings.


• Converted driver feedback into an In-Ride Screen revamp with ETA markers, ratings, trip details, and cancellation nudges, improving marketplace fulfillment by 0.9 percentage points.


• Launched a real-time Driver Earnings Dashboard with filters, interactive charts, and transparent breakdowns of earnings, incentives, commissions, taxes, and performance metrics; generated 41.2K opens and 21.3K interactions.


• Owned the AI-assisted, 0-to-1 Driver Pass MVP, delivering zero-commission subscription plans with wallet purchase, balance top-up, renewal, payment-status, and analytics journeys; generated $56.6K in pass purchases.


• Expanded driver engagement through loyalty mechanics and real-time incentive progress visibility, increasing engagement by 17%, retention by 4%, and Driver Home Screen engagement by 16% on iOS and 9% on Android.


• Overhauled the real-time driver offer experience across backend logic and mobile UI, and launched Live Activities and Dynamic Island for iOS; reduced duplicate acceptances by 70 percentage points, lifted offer interactions by 13 percentage points, and improved Acceptance Rate by 10 percentage points.


• Designed a Cockpit-based Lead Management System consolidating driver leads from native and web signup, social media, WhatsApp, and Sales into a unified qualification, assignment, moderation, analytics, and driver-conversion workflow.


• Built an automated daily KPI decision brief covering 16 KPIs across 26 operational areas using Snowflake, Python, GitHub, Cursor Automation, and Slack, replacing repeated manual reviews with deterministic Watch and Alert rules and prioritized team notifications.


• Led the Driver Experience technology team across roadmap prioritization, backlog management, experimentation, launch readiness, and agile delivery, aligning engineering, design, analytics, operations, commercial, and leadership stakeholders.

• Owned data-driven product improvements across driver onboarding, marketplace fulfillment, offer delivery, incentives, and ride reliability, working with engineering, design, analytics, operations, and commercial teams.

• Spearheaded an ML-powered ETA prediction engine that reduced driver wait-time uncertainty by 1.5 minutes, improved ride fulfillment by 1.3 percentage points, and generated $11.2K in incremental monthly revenue.

• Replaced web redirects with a native driver onboarding journey featuring step-level verification tracking and journey resumption, increasing auto-signup from 15% to 19% and onboarding 2, 070 drivers.

• Introduced Acceptance Rate as a configurable eligibility criterion for driver incentive campaigns, improving acceptance by up to 10 percentage points in statistically significant test groups.

• Converted SQL cancellation analysis into automated driver messaging targeted at recurring ride-friction moments, reducing passenger cancellations by 3%.

• Implemented push-based driver offers that surfaced ride requests faster, reduced time-to-accept by 3 seconds, and generated $38.6K in incremental monthly revenue.

• Managed feature discovery, requirements definition, backlog prioritization, experimentation, release coordination, and post-launch performance monitoring across driver-app and marketplace initiatives.

• Drove marketplace strategy and performance improvement through SQL analysis, predictive modeling, pricing research, customer segmentation, and automated business reporting, partnering with product, operations, commercial, and analytics teams.

• Preserved approximately 10, 000 rides per month by analyzing recurring cancellation patterns in SQL and translating the findings into a temporary blocking policy and operational controls.

• Reduced monthly passenger churn by 4% by rolling out churn-prediction models that identified at-risk customer segments and enabled proactive retention actions.

• Conducted price-sensitivity analysis and recommended a tiered pricing strategy aligned with customer demand signals, increasing price-check conversion by 1 percentage point.

• Developed and automated company-wide dashboards that standardized reporting and improved cross-functional visibility into marketplace and business performance.

• Segmented drivers by Acceptance Rate using Excel Power Pivot and supported targeted incentive campaigns for each behavioral cohort, improving driver acceptance by 2%.

• Synthesized marketplace, customer, pricing, and operational data into actionable recommendations for leadership and cross-functional stakeholders.