Ads AI Analytics Lead II

Instacart
Canada
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3-6 yearsSkills: ["Communication","Problem-solving","Stakeholder management"]

Join Instacart’s Commercial Scaled Intelligence team as an Ads AI Analyst building AI-driven ads agents and retrieval workflows to optimize ROAS, pacing, and partner outcomes. Design ontologies, develop dbt models in Snowflake, ingest unstructured ad content, and run experiments to quantify impact, collaborating with Ads GTM, Product, Data Science, and Engineering in a fully remote, Canada-focused role.

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FursaFursa
Instacart
Instacart
6 months ago

Ads AI Analytics Lead II

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join Instacart’s Commercial Scaled Intelligence team as an Ads AI Analyst building AI-driven ads agents and retrieval workflows to optimize ROAS, pacing, and partner outcomes. Design ontologies, develop dbt models in Snowflake, ingest unstructured ad content, and run experiments to quantify impact, collaborating with Ads GTM, Product, Data Science, and Engineering in a fully remote, Canada-focused role.
Location: Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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.

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote WorkEquity

Key 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).
Experience:3-6 yearsAdsRetailE-commerceAIAnalytics
Skills:CommunicationProblem-solvingStakeholder management
Languages:English
Tech Stack:PythonSQLDbtSnowflakeBigQueryAirflowTableauPower BILooker

Company Brief

Instacart
Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2012
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn