Senior Product Manager, Machine Learning & Optimization

Index Exchange • New York, NY

69d • Hybrid

About The Position

Index Exchange is looking for a Senior Product Manager who combines vision with practicality to steer our Machine Learning and Optimization (MLO) initiatives. Every day, our exchange manages billions of ad transactions. This creates an abundance of data and complexity that challenges even the most robust reporting systems and data-driven analysis. As the Product Manager, you'll grapple with crucial problems such as identifying the impressions most likely to be purchased by different buyers, devising solutions for price prediction, and overcoming auction flooring challenges. Candidates should bring substantial hands-on experience from technical environments, specifically in working with Data Science and Engineering teams to bring Machine Learning (ML) based features to market. A robust foundation in Statistics or Mathematics will support your work in the intricate field of Machine Learning. You'll be trusted to cultivate and expand our team's skill set from day one. You will find yourself in high-visibility, high-stakes settings, where your capacity to guide projects from concept to completion with minimal supervision and exceptional project management skills will be central to your success. While prior experience in ad tech - with a solid understanding of programmatic advertising, DSPs, buyers, publishers, etc. - will equip you to hit the ground running, we also welcome candidates with experience in financial markets or pricing, such as airline yield management. Your inclination towards working with big data platforms and launching analytics and reporting products to market will add to your appeal. Our ideal candidate is someone who flourishes in data-rich environments, communicates superbly, and navigates efficiently across various time zones. If you're a numbers whizz who loves delving into complex technical challenges, and you're keen to create innovative products for our 3,000 publisher clients, this role could be your perfect fit.

Requirements

• 5+ years of Product Management experience in ad tech platforms, auctions, yield management, pricing, forecasting, advanced modeling, machine learning, or AI.
• A degree in Engineering, Computer Science, Math, Statistics, Physics, or Economics is preferred.
• A track record of successful 0-1 product launches and landings.
• Experience and familiarity 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.
• Flexibility for travel.

Responsibilities

• Partner with Data Science, Engineering, and Infrastructure teams to design and deliver ML-driven optimization products.
• 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: from strategy and requirements to go-to-market and ongoing performance monitoring.
• Define success metrics, monitor live performance, and ensure ML features scale reliably across billions of transactions.
• Be the connective tissue between internal stakeholders and external customers, ensuring that what we build delivers real value.

Benefits

• Comprehensive health, dental, and vision plans for you and your dependents.
• Paid time off, health days, and personal obligation days plus flexible work schedules.
• Competitive retirement matching plans.
• Equity packages.
• Generous parental leave available to birthing, non-birthing, and adoptive parents.
• Annual well-being allowance plus fitness discounts and group wellness activities.
• Commuter benefits and discounts, where available.
• Employee assistance program.
• Mental health first aid program that provides an in-the-moment point of contact and reassurance.
• One day of volunteer time off per year and a donation-matching program.
• Bi-weekly town halls and regular community-led team events.
• Multiple resources and programming to support continuous learning.
• A workplace that supports a diverse, equitable, and inclusive environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees