Aslam Mahmood Mohammad

About Aslam Mahmood Mohammad

I’m a Product Manager with 4+ years of experience shaping data-driven SaaS and B2B products in ad-tech, analytics, and creative monetization. I specialize in defining product strategy, building impactful roadmaps, and driving measurable business outcomes ranging from boosting retention and conversion to unlocking ARR growth.My work blends creativity with data: from launching predictive ad conversion features that improved ROI, to developing churn prediction and personalization platforms that elevated user engagement. I thrive at the intersection of product, engineering, design, and data science leading cross-functional teams to deliver innovative, scalable solutions.Alongside my industry roles, I’ve led key SaaS initiatives like building an admissions platform adopted by 50+ consultancies, cutting processing times by 30% and accelerating client adoption. With strong foundations in engineering management (Drexel University) and data science Bangalore), I bring analytical rigor and a user-centric mindset to every product challenge.Core strengths: Product Strategy • Roadmapping • Go-to-Market • Data-Driven Insights • A/B Testing • Agile Leadership • Cross-Functional CollaborationI’m passionate about creating products that balance creativity, efficiency, and measurable impact and I’m always excited to connect with others who share the same drive.

Experience

1. Associate Product Manager

   Canva

   May 2024 — Present · East Windsor, NJ, US

   Defined and executed the roadmap for predictive ad conversion features, aligning product strategy with monetization and creative asset production, resulting in an 18% increase in conversions and a 12% reduction in CPA ($1.2M ARR impact). • Established KPIs (CTR, CPA, ROI) and applied RICE/MoSCoW prioritization to streamline the product development process, accelerating delivery cycles by 15% and enhancing user experience for advertisers and creators. • Collaborated with engineering, design, and data science teams to integrate ML models into real-time ad serving, reducing targeting latency by 25% and supporting efficient matching of creative content with target audiences. • Designed and implemented Power BI dashboards to track campaign effectiveness, boosting budget efficiency by 20% and reducing decision-making time from 48 hours to under 4 hours, leveraging data analysis for continuous improvements. • Directed sprint planning, backlog grooming, and cross-functional alignment initiatives, ensuring swift resolution of 95% of blockers within sprint cycles while incorporating insights from diverse, multilingual teams.

Education

• International Institute of Information Technology Bangalore

  Postgraduate Degree, Data Science

• Drexel University

  Master of Science - MS, Engineering/Industrial Management

• BV Raju Institute of Technology (BVRIT)

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering