# Senior Product Manager, Ads Quality

**Company:** [Instacart](https://hotfix.jobs/companies/instacart)
**Location:** Remote
**Role:** Product Management
**Salary:** $158k – $200k/yr
**Experience:** 5+ years
**Skills:** Product Management, online advertising, auction mechanics, Machine Learning, experimentation frameworks, Data Analysis, LLMs, ad ranking, relevance scoring, retail media
**Posted:** 2026-07-23

> Senior Product Manager owning ads quality systems at Instacart, including auction mechanics, marketplace balance, and ML-driven ranking/relevance signals for the retail media network. Requires 2+ years PM experience in ad tech with ML teams, strong analytical and experimentation skills, and comfort in ambiguous, high-stakes environments.

## Job Description

## 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.

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