Instacart·Canada·5 дн назад
Ads AI Analytics Lead II
11 667 – 12 333 CAD
≈ 733,2 тыс.–775 тыс. ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Наша компания
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.
О роли
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
Чем предстоит заниматься
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
Establish evaluation suites and dashboards tracking precision/recall, calibration, hallucination rate, latency, and cost; drive continuous model and system improvements
Run A/B and uplift experiments to quantify business impact; own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time-to-insight
Partner with Ads Product, Ads Engineering, Sales leadership, Data Engineering, and R&D to align roadmaps, de-risk launches, and ship high-quality production agents
Own your workstream end to end—from data and pipelines to the UI and agent logic—delivering secure, observable, and reliable tooling that’s adopted by the field
Наши требования
Experience building AI-driven products or agents end to end, including retrieval design (hybrid search, re-ranking) and vector search
Deep expertise in advertising products and operations, with a track record of driving automation that improved ROAS, pacing, or operational efficiency
Applied experience with Ads modeling techniques such as forecasting, anomaly detection, uplift modeling, and causal inference
Hands-on experience with workflow automation or internal tooling (e.g., Retool, Superblocks, Zapier, n8n, Gumloop) and/or front-end frameworks (e.g., React) to translate insights into actions
Familiarity with retail media and ad ecosystems (e.g., Amazon Ads, Google Ads, Meta, Shopify, DoorDash) and their measurement frameworks
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
CAN
$140,000—$148,000 CAD
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
Дополнительно
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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia
For Canadian based candidates, the base pay ranges for a successful candidate are listed below
Технологии и навыки
Instacart
Canada
ГрейдSenior
ЗанятостьПолная занятость
РегионКанада
ФорматУдалённо
ИсточникСкрыто
Опубликовано5 дн назад
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