TL;DR

Senior Product Manager, Machine Learning & Optimization (AI): Steering Machine Learning and Optimization initiatives to manage billions of ad transactions, identifying key impressions, devising price prediction solutions, and overcoming auction flooring challenges. Focus on guiding projects from concept to completion and creating innovative products for publisher clients.

Location: New York, London, or Toronto

Salary: $140,000-$260,000 per year

Company

%hirify_global% is a global advertising supply-side platform enabling media owners to maximize the value of their content on any screen.

What you will do

Design and deliver ML-driven optimization products in partnership with Data Science, Engineering, and Infrastructure teams.
Translate complex system behavior into clear product requirements, project roadmaps, and acceptance criteria.
Apply platform thinking to identify common patterns and constraints, designing scalable solutions that benefit multiple use cases.
Analyze experiments, model outputs, and business impact to validate hypotheses and guide iteration.
Collaborate with commercial teams and customers to identify problems worth solving and align incentives across the ecosystem.
Launch and own features end-to-end, defining success metrics and monitoring live performance.

Requirements

5+ years of Product Management experience in ad tech platforms, auctions, yield management, pricing, forecasting, advanced modeling, machine learning, or AI.
Engineering, Computer Science, Math, Statistics, Physics, or Economics degree preferred.
Track record of successful 0-1 product launches and landings.
Experience with building and shipping at internet scale within the Agile framework.
Strong technical, communication, and analytical skills.
Comfortable working across time zones on a global team and flexibility for travel.

Culture & Benefits

Comprehensive health, dental, and vision plans.
Paid time off, health days, and personal obligation days plus flexible work schedules.
Competitive retirement matching plans and equity packages.
Generous parental leave available to birthing, non-birthing, and adoptive parents.
Annual well-being allowance plus fitness discounts and group wellness activities.
Multiple resources and programming to support continuous learning.