Product Manager- ML Decision Systems (Demand Side Platform)

What you'll do

• Define business objectives and translate them into ML-driven decision systems impacting revenue, margin, auction efficiency
• Own end-to-end lifecycle of ML initiatives: problem framing, signal validation, modeling alignment, experimentation, rollout, monitoring, iteration
• Partner closely with Data Scientists and Engineers to ship real-time ML systems at scale
• Define success metrics, guardrails, and experimentation frameworks
• Drive auction/pricing/optimization strategies balancing revenue, performance, and risk
• Own business impact and continuously optimize deployed models
• Manage cross-functional squads focused on measurable business outcomes

Requirements

• 3+ years of Product Management experience
• 1+ years owning ML-powered or data-driven products in production
• Experience in real-time or large-scale decision systems impacting runtime decisions
• Experience designing and interpreting A/B experiments
• Experience working closely with Data Science and Engineering teams
• Comfortable with prediction targets vs automated decisions
• Understanding of offline vs online metrics (e.g. AUC, calibration, precision-recall)
• Conceptual understanding of loss functions
• Knowledge of model drift and retraining cycles
• Understanding of data pipelines and real-time latency constraints
• Ability to write structured PRDs
• Ability to analyze performance metrics
• Ability to reason about trade-offs quantitatively
• Preferred: experience in AdTech, MarTech, digital advertising, or marketplace platforms
• Preferred: exposure to auction systems or dynamic pricing models
• Preferred: experience building products in high-scale consumer or fintech platforms
• Preferred: full-time MBA education
• Preferred: experience with SQL or basic data analysis tools

Tech stack

Benefits