The opportunity
Instacart Ads powers one of the industry's leading retail media networks, enabling Instacart and its retailer partners to deliver highly relevant, effective advertising experiences at scale. As part of the Ad Product team, you'll sit at the intersection of machine learning,…
What you'll do
Own the product vision and roadmap for ads quality systems, including auction: mechanics, marketplace balance, and the signals that govern ad ranking and relevance across Instacart's retail media network.
Drive the strategy and execution for increasing the velocity of: experimentation across the ads quality team — designing frameworks that allow the team to test, learn, and iterate faster without sacrificing rigor or integrity.
Work hands-on with machine learning engineers and ads engineers to translate: complex ML model outputs and auction dynamics into clear product requirements, hypotheses, and measurable outcomes.
Define and track the right success metrics for ads quality, navigating: tradeoffs between advertiser performance, shopper experience, and marketplace health — and communicating those tradeoffs clearly to senior stakeholders.
Operate in a fast-paced, constantly evolving environment where priorities: shift, new data surfaces frequently, and the ability to make good decisions under uncertainty is essential to moving the business forward.
+ years of product management experience in online advertising, ad tech, or a: closely related domain — with a demonstrated understanding of auction mechanics, bidding systems, or ad quality signals.
What they're looking for
- + years of experience working directly with machine learning teams or: ML-driven products, with the ability to engage substantively in technical conversations about model design, evaluation, and tradeoffs.
- Proven track record of defining and executing on product roadmaps in complex,: data-rich environments with multiple cross-functional stakeholders.
- Strong analytical skills with experience using data to inform product: decisions, measure impact, and design experiments.
- Hands-on familiarity with large language models (LLMs) and how they can be: applied within ads or ranking systems.
