Senior Product Manager, Ads Quality

Instacart

Senior Product Manager managing Instacart's ads quality systems and driving experimentation strategies. Collaborating with machine learning engineers to optimize auction mechanics and ad ranking systems.

Posted 7/23/2026full-timeRemote • California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Vermont, Virginia, Washington • 🇺🇸 United StatesSenior💰 $158,000 - $199,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for ads quality systems, with a strong focus on defining product roadmaps and success metrics in data-rich environments. Proficient in collaborating with machine learning teams and applying large language models to enhance advertising strategies.

Highest-signal resume keywords

Product Management ExperienceMachine Learning CollaborationData-Driven Decision MakingAds Quality MetricsLarge Language Models Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap DefinitionAnalytical SkillsExperimentation StrategyData AnalysisMachine Learning Product Experience

Soft Skills

Strategic ThinkingAdaptabilityCollaboration

Industry Keywords

Online AdvertisingAd TechRetail Media NetworkAds Machine Learning Models

About the role

Key responsibilities & impact

Own the product vision and roadmap for ads quality systems
Drive the strategy and execution for increasing the velocity of experimentation
Work hands-on with machine learning engineers and ads engineers
Define and track the right success metrics for ads quality
Operate in a fast-paced, constantly evolving environment

Requirements

What you’ll need

2+ years of product management experience in online advertising, ad tech, or a closely related domain
2+ years of experience working directly with machine learning teams or ML-driven products
Proven track record of defining and executing on product roadmaps in complex, data-rich environments
Strong analytical skills with experience using data to inform product decisions
Hands-on familiarity with large language models (LLMs) and how they can be applied within ads or ranking systems (preferred)
Experience working with ads machine learning models in a production environment (preferred)
Prior experience at a retail media network (preferred)

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Stock options
Professional development opportunities
Home office setup allowance
New hire equity grant
Annual refresh grants