AI Subscription Tier Recommendation Engineer

Fynix Studio

Remote · $100k – $130k / year · Full-time · Posted 2 months ago

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About the role

You'll be the third growth engineer on a team of twelve, working directly with our head of monetization. We already model churn and activation signals well, but we've never had a system that tells each account which subscription tier actually fits their usage pattern. Your job is to close that gap: build a recommendation engine that suggests upgrades, downgrades, or add-ons based on real usage telemetry, then measure whether it moves net revenue. This is a hands-on role with a direct line to pricing decisions.

Fully remote.

Responsibilities

Own the full pipeline from usage telemetry to tier recommendation scoring
Partner with product to surface recommendations inside the billing dashboard
Run A/B tests to measure revenue impact of recommended tier changes
Maintain and retrain the recommendation model as pricing tiers evolve

Requirements

3+ years applying scikit-learn or similar ML libraries to product recommendation problems
Solid SQL skills for working with usage and billing event data
Experience running and interpreting A/B tests
Bonus: prior experience in SaaS pricing or monetization teams