Summary
Jeff Ho is a Senior Product Manager and data science leader with 10+ years building ML-driven products across HR tech, advertising auctions, and geospatial analytics. He combines a Stanford PhD in Civil & Environmental Engineering with hands-on engineering skills in Python, Spark, AWS, and model pipelines to ship revenue-generating products rapidly — including a geospatial big-data product that monetized within three months and predictive real-time bidding MVPs for programmatic ads. At startups he led end-to-end product and technical development for disaster-risk dashboards and satellite-imagery models, growing revenue fivefold, and his research on freshwater algal detection informs both product and climate risk work. Now at Indeed he applies technical product leadership to auctions and hiring data, bridging deep statistical rigor with pragmatic delivery. Colleagues rely on him for translating complex ML systems into scalable products that meet business KPIs while preserving scientific validity.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Honours Environmental Engineering with Water Resources Option, Bachelor's Honours Environmental Engineering with Water Resources Option at University of Waterloo
Bachelor's Environmental Engineering, Bachelor's Environmental Engineering at National University of Singapore
Doctor of Philosophy (Ph.D.) Civil and Environmental Engineering, Doctor of Philosophy (Ph.D.) Civil and Environmental Engineering at Stanford University