Teams at Nift

Own the full lifecycle of production recommendation systems: data exploration, feature engineering, modeling (deep learning), deployment, experimentation, and measuring business KPIs. Partner with engineering to scale systems and continuously improve personalization and business impact.

Serve as a strategic partner to the CEO managing calendar, access, travel, and communications; prepare briefings and board/client decks; manage stakeholder relationships and personal logistics with discretion and proactive judgment.

Serve as the analytical partner to Account Managers, diagnose performance issues, surface proactive business intelligence from marketplace data, automate workflows and build tools/models (including recommendation-system related work), and create actionable insights that influence product and business strategy.