Instacart

Ads AI Analytics Lead II

United States - Remote · Mid

Sponsorship not specified$157k-$165kDetected 27 days ago

PythonSQLBigQuerySnowflakeMachine LearningAirflowdbtData EngineeringData ScienceData VisualizationRAGAgentic AIStakeholder ManagementForecastingRecruitingShopifyCommunication

About the role

Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
Ingest and enrich unstructured Ads content and publish retrieval‑ready datasets using our managed search/vector services.
Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.

Responsibilities

Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
Design agent reasoning and policies on ads, including tool definitions and human‑in‑the‑loop approvals.
Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time‑to‑insight.
The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company.
As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents.
You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes.
You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.

Requirements

3-6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
2+ years of domain expertise in ads, retail, or e-commerce data.
Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
Deep Expertise in orchestrating data pipelines using dbt and Airflow
Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
Experience with evaluation and guardrail frameworks and human‑in‑the‑loop QA.

Nice to have

Deep expertise in advertising products, including leading and driving automation projects.
Proven ability to improve operational efficiency through automation initiatives in fast-paced environments.
Applied experience in modeling techniques for Ads, including forecasting, anomaly detection, uplift modeling, and causal inference.
Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash.
Offers may vary based on many factors, such as candidate experience and skills required for the role.
For US based candidates, the base pay ranges for a successful candidate are listed below.
All other states

Compensation

Instacart provides highly market-competitive compensation and benefits in each location where our employees work.

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This listing is sourced directly from Instacart's careers page and normalized into a canonical job model.