PythonSQLGoRMachine LearningMLLeadershipRemote Work
About this role
Role Overview
Design and own analytical frameworks that guide the evolution of our auction and bidding systems, including CPC pricing, bid landscape modeling, and reserve price optimization.
Run rigorous experiments to evaluate the impact of auction mechanism changes—such as bid shading, second-price vs. generalized second-price auctions, and dynamic pricing—and translate results into actionable recommendations.
Develop statistical and machine learning models to forecast bid distributions, predict click-through rates, and optimize auction efficiency across advertiser and consumer dimensions.
Build simulations to model auction dynamics and stress-test proposed mechanism changes before live deployment.
Partner closely with Engineering, ML, and Product to translate business and advertiser needs into well-specified model and system requirements.
Enable objective decision-making by building dashboards and monitoring frameworks that surface auction health, advertiser performance, and CPC trends to stakeholders across the organization.
Apply expertise in causal inference, mechanism design, and econometrics to ensure our auction systems are fair, efficient, and aligned with marketplace goals.
Present analytical findings and strategic recommendations in a compelling way to influence Instacart's leadership and Ads go-to-market teams.
Requirements
5+ years of experience working in a quantitative role at a product company or research organization, with meaningful exposure to ads, auctions, or marketplace pricing systems.
Hands-on experience with auction mechanics, CPC or CPM bidding systems, bid optimization, or related ad monetization problems.
Ability to run rigorous experiments and generate scientifically sound recommendations in the context of auction or pricing changes.
Ability to write complex, efficient, and eloquent SQL queries to extract data.
Ability to write efficient and eloquent code in Python or R.
A desire to build and improve consumer software products and advertising platforms.
Ability to translate business needs—from both advertiser and marketplace perspectives—into analytical frameworks.
Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.