Key Facts

Remote From:

Canada

Full time

Mid-level (2-5 years)

148 - 148K yearly

English

Hard Skills

Other Skills

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Forecasting
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Forecasting
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Communication
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Teamwork
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Analytical Thinking

Roles & Responsibilities

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 data modeling, testing, and managing data contracts
Deep expertise in orchestrating data pipelines using dbt and Airflow

Requirements:

Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements, and translate business problems into actionable AI agent behaviors
Build and maintain dbt models and curated data marts in Snowflake/BigQuery with data contracts, tests, and SLOs; ingest and enrich unstructured Ads content for retrieval-ready datasets
Design and evaluate retrieval workflows (RAG) and agent reasoning policies, including tool definitions and human-in-the-loop approvals, with established quality/latency targets
Run controlled experiments (A/B or uplift) and establish evaluation suites to measure impact on ROAS, pacing, precision/recall, latency, and time-to-insight

Instacart

Information Technology & Services

About Instacart

Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,200 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 80,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company, and to start shopping, visit www.instacart.com.

Company type: Large

Industry: Information Technology & Services

Founded: 2018

Company size: 1001 - 5000

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Job description

We're 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. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s 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 it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

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. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

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.

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.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$140,000—$148,000 CAD

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