Staff Machine Learning Manager

Cross-Channel Budget Allocation Engine Build optimization models that allocate a brand's total marketing budget across channels to maximize aggregate ROAS.

Account for channel-specific dynamics: auction mechanics, audience overlap, frequency caps, diminishing returns curves.

Move from static allocation to continuous rebalancing based on real-time performance signals.

Bid Optimization & Pacing Develop bid strategy models that work across platforms with different auction types.

Strong ML breadth with depth in at least one of: optimization algorithms, recommender systems, time-series forecasting, causal inference, reinforcement learning, or auction/marketplace ML.

Hands-on technical leader: You can architect ML systems, review model code, and mentor engineers - not just manage roadmaps.

You've taken models from research to production, dealt with data quality issues, and understand the gap between offline metrics and business impact.

Ads/MarTech domain experience is a strong plus: bid optimization, budget allocation, attribution, audience targeting, or media mix modeling at an ad platform, DSP…