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Ads AI Analytics Lead II
Lead the development of AI-driven Ads agents to optimize campaign performance and drive revenue growth at Instacart.
Posted by employer 8 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 week ago
Skills & Technologies
AI in the day-to-day
The role involves designing AI agents that analyze campaigns and recommend actions to improve performance.
Requirements
- Experience
- 3–6 years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Ads AI Analytics Lead II at Instacart, the individual will focus on developing AI-driven solutions to enhance advertising performance by analyzing campaigns and recommending actionable insights. Key skills include advanced proficiency in SQL and Python, experience with data modeling in Snowflake or BigQuery, and a solid understanding of advertising metrics like ROAS and CPA. This position is ideal for someone with 3-6 years of experience in analytics engineering or data science, particularly within the ads or e-commerce sectors, who is adept at collaborating across teams to drive impactful results.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Instacart's career page.
- Instacart has 115 other open roles including Government Affairs Manager II, Northwest, Senior Product Designer II - Lifecycle & Growth, Senior Product Designer II - Lifecycle & Growth.
- 6546 active Python roles on Joblaze right now.
- 2283 active SQL roles on Joblaze right now.
- 451 active Snowflake roles on Joblaze right now.
- Salary band is below the typical range for Data Science roles (median ~$164,695).
- Pays more than 31% of the 3240 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Ads AI Analytics Lead II role remote?
- Yes — Instacart lists this as a fully remote position.
- What's the salary range?
- Instacart lists $131,000–$165,000 for this role.
- How much experience is required?
- 3–6 years of relevant experience for this Ads AI Analytics Lead II role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Looker, Mode, Power BI, Python, SQL.
- What seniority level is this role?
- Instacart targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Ads AI Analytics Lead II role at Instacart.
From the original posting
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
- 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)
- 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.
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 US based candidates, the base pay ranges for a successful candidate are listed below.