Ads AI Analytics Lead II
Job Overview
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.
Job Description
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.
Learn more about our flexible approach to where we work.
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.
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
Required Skills and Qualifications
- About You Minimum Qualifications 3–6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
- 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.
- 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.
- 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.
Benefits and Perks
- #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work.
- Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
- Please rea d more about our benefits offerings here .
USA Jobs Today role summary
Role Summary
Ads AI Analytics Lead II at Instacart is a remote United States position and is listed as Full Time.
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.
Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.
Application Checklist
- Review the stated qualifications, including: 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.
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
- Tailor your resume to the responsibilities and qualifications stated by Instacart.
- Apply only through the official link shown on this page and never pay USA Jobs Today to submit an application.
Original job information is provided by the hiring organization or listed source. USA Jobs Today organizes source-supported details for readability without inventing salary, benefits, qualifications, sponsorship, or remote eligibility.
Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
Instacart is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.
Application Notes
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