Partner Intelligence Lead II - Ads

Instacart; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

A leading grocery delivery service is looking for an analytics engineer to create AI agents that optimize advertising performance. Candidates should have 4-7 years in analytics, experience with SQL and Python, and knowledge of e-commerce data. The role is remote, offering flexible work arrangements.

Benefits

Highly market-competitive compensation

Flexible work environment

Qualifications

• 4–7 years in analytics engineering, data science, or applied AI.
• 2+ years of domain expertise in ads or e-commerce data.
• Experience with A/B testing and data modeling.

Responsibilities

• Define Ads ontologies and metrics for campaigns.
• Build dbt models in Snowflake with data contracts.
• Run A/B or uplift experiments to quantify impact.

Skills

SQL

Python

Data visualization tools

Analytics engineering

Tools

Snowflake

dbt

Airflow

Job description

Overview

We9re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. We deliver an essential service that customers rely on to get their groceries and household goods, while offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we7re building the team to help push our shopping cart forward. If you7re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

Theres no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work €“whether it7s from home, an office, or your favorite coffee shop €“while staying connected and building community through regular in-person events.

About the Role

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.

About the Team

The Commercial Scaled Intelligence (CSI) team is an AI-first group dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

About the Job

• Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
• Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
• Ingest and enrich unstructured Ads content and publish retrieval-ready datasets using our managed search/vector services.
• Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and re-ranking; set quality/latency targets and iterate via experiments.
• Design agent reasoning and policies on ads, including tool definitions and human-in-the-loop approvals.
• Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
• Run A/B or uplift experiments to quantify impact and guide iteration.
• Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time-to-insight.

About You

Minimum Qualifications

• 4–7 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).
• Ability to design offline/online evaluations and run A/B or uplift tests.
• Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
• Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
• Understanding of ML models to drive recommendations on bid, keywords, and budgets.
• Experience with evaluation and guardrail frameworks and human-in-the-loop QA.

Preferred Qualifications

• Strong understanding of AI and machine learning concepts, with experience creating AI-driven products.
• 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.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote. The base pay range for a successful candidate varies by location. For US-based candidates, ranges are provided by location where applicable.