Product Manager, ML Applications
As PM for ML Applications, owned an in-app ad launch that grew revenue from $8M in its first 60 days to $20M within a year, while lifting retention 5% — and separately scaled the team's in-house ML platform from 8 to 100+ daily users, saving $500K a year.
- $8MRevenue generated by the in-app ad launch, first 60 daysSOURCE: In-app ad launch
- $20MCumulative revenue from the same in-app ad launch, at the 1-year markSOURCE: In-app ad launch
- 5%Retention lift attributed to the in-app ad launchSOURCE: In-app ad launch
- 8 → 100+Daily active users on the in-house ML platformSOURCE: In-house ML platform (separate from the ad launch)
- $500K/yrCost savings from scaling the in-house ML platformSOURCE: In-house ML platform (separate from the ad launch)
The in-app ad launch and the ML platform work ran on separate tracks with separate owners of outcome: the ad launch’s revenue and retention numbers trace to that one initiative, and the platform’s usage growth and cost savings trace to platform adoption, not to the ad launch. Reported here as they were measured — not merged into a single headline number.