Senior Product Manager, Ads Quality

Responsibilities

• 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.

Requirements

• 2+ 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.
• 2+ 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.

Nice-to-Haves

• Hands-on familiarity with large language models (LLMs) and how they can be applied within ads or ranking systems.
• Experience working with ads machine learning models in a production environment, including relevance scoring, auction optimization, or quality filtering.
• Prior experience at a retail media network, demand-side platform, or supply-side platform, with exposure to the full advertising stack.
• Comfort operating in ambiguous, high-growth environments where structure and process are still being built — and an eagerness to help build them.