Instacart

Instacart

Ads AI Analytics Lead II

CanadaRemotePosted Today$140,000 – $148,000
Full TimeSeniorRemoteCA

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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 toge

Key Highlights

  • Define Ads ontologies and canonical metrics across campaigns, budgets, bids, creatives, audiences, and placements to power consistent reasoning and recommendations.
  • Build robust dbt models and curated marts in Snowflake (or BigQuery) with clear data contracts, tests, SLOs, and monitoring; orchestrate pipelines with Airflow.
  • Ingest, structure, and enrich unstructured Ads content; publish retrieval-ready datasets leveraging managed search/vector services to enable high-quality grounding.
  • Design and evaluate RAG workflows (hybrid search, re-ranking) with explicit quality and latency targets; iterate via offline/online experiments to improve performance.
  • Design agent reasoning, tools, and policies for Ads use cases, including human-in-the-loop approvals and guardrails that balance safety, cost, and speed.

Qualifications

Required Qualifications

  • 4–7 years of experience in analytics engineering, data science, or applied AI, with advanced proficiency in Python and SQL.
  • 2+ years working with ads, retail, or e‑commerce data.
  • Hands-on experience with dbt and Snowflake or BigQuery, including data modeling, testing, documentation, and managing data contracts.
  • Experience orchestrating data pipelines with Airflow (or a similar scheduler), including alerting and on-call support for data SLOs.
  • Ability to design and run offline/online evaluations and A/B or uplift tests; familiarity with experiment design and statistical inference.
  • Fluency in Ads analytics concepts: ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
  • Shipped at least one production data or AI system used by business stakeholders, with demonstrable business impact.
  • Experience with evaluation and guardrail frameworks and human‑in‑the‑loop QA workflows.
  • Proficiency with at least one BI/visualization tool (e.g., Looker, Tableau, Mode, or Power BI).
  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics) or equivalent practical experience.

Skills & Technologies

PythonSQLReact

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Job Details

Employment Type

Full Time

Experience Level

Senior

Salary Range

$140,000 – $148,000

Location

Canada

Work Mode

Remote

Posted

Today

Country

CA