Ads AI Analytics Lead II

Instacart
United States
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 4-7 yearsSkills: ["Communication","Collaboration","Problem-solving","Stakeholder management"]

Lead the Ads AI analytics effort by designing the semantic/context layer, building vertical AI agents, and coordinating with Ads GTM, Product, Data Science, and Engineering to ship production agents that optimize ROAS, pacing, and partner outcomes. Own evaluation suites, data contracts, and experiments to drive measurable lift and data-driven decision making across ad campaigns.

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Instacart
Instacart
8 months ago

Ads AI Analytics Lead II

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Closed

Job Summary

Lead the Ads AI analytics effort by designing the semantic/context layer, building vertical AI agents, and coordinating with Ads GTM, Product, Data Science, and Engineering to ship production agents that optimize ROAS, pacing, and partner outcomes. Own evaluation suites, data contracts, and experiments to drive measurable lift and data-driven decision making across ad campaigns.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

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.
  • •Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time-to-insight.

Key Requirements

  • •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)
Experience:4-7 yearsAdsRetailE-commerce
Skills:CommunicationCollaborationProblem-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