Enrichment Operations Analyst

Overview

About the Role - In this role, you will partner closely with Catalog Product, ML, and Engineering and play a critical role in driving the "how" and execution of how we tackle Catalog goals on creating, scaling, and maintaining the accuracy of new catalog attributes (e.g. gluten-free) that are used to power experiences on the app (e.g. search filters, badges, ML models). This includes enabling our ML model pipelines used to generate data at scale through building LLM prompts, creating ground truth datasets, and evaluating the performance of ML models. You will use SQL to pull and analyze data in your day-to-day work. You will also be responsible for managing 3rd party vendors that provide catalog product data that is surfaced to customers.

About the Team - The Enrichment Operations team sits within the Catalog Engineering organization. We partner with Catalog Product, Engineering, Data Science, and Machine Learning (ML) to create and measure the quality of new catalog data/attributes that are used to power customer experiences in all Instacart products (e.g., Marketplace, Caper, Storefront Pro). The catalog/product data are the foundation upon which customer experiences are built.

About the Job

AI Enablement (40%)

• Scale attribute data generation using ML. Collaborate with ML on attribute ML models and human-in-the-loop methodologies. You are responsible for building ground truth datasets, advising ML on what input data should be used, and building LLM prompts. You will also develop sourcing strategies on the best way to generate data for new attributes to power customer experiences. This requires thinking from both a technical/data point of view while also understanding how data should be presented to a customer on the app.
• Evaluate model outputs (including criteria to decide on accuracy of outputs) to provide feedback to the ML team to improve models. This may involve reviewing and leading work from QA team members.

Driving Cross-Functional Projects (40%)

• Collaborate with Product, Engineering, Data Science, and ML to execute on projects that roll up to catalog OKRs (e.g., increase attribute coverage).
• Independently lead key projects and manage against catalog OKRs. This involves collaborating and aligning with a cross-functional team of technical and non-technical stakeholders to achieve the goals of a project within a defined timeframe.

Analytics and Vendor Management (20%)

• Manage relationships and data pipelines with 3rd party vendors and data providers that provide catalog data to Instacart. Use SQL to analyze data and present data-driven business recommendations.

About You
Minimum Qualifications

• 1-3 years of working experience in roles that involved project management, project delivery, stakeholder management, strategy and operations, and/or data analysis/analytics.
• Bachelor's degree in business, commerce, economics, IT management, or related field.
• Experience leading cross-functional projects end-to-end, with strong communication and stakeholder management skills. Experience working closely with Product, Engineering, ML, and DS teams preferred. Proven track record of strong ownership and bias to action to drive key business results.
• Ability to blend business acumen with technical understanding to drive operational strategy and execution.
• Intermediate knowledge in Excel, Google Sheets, and SQL. Experience using analytical skills to pull, analyze, and make data-driven business decisions.

Preferred Qualifications

• Experience working with databases that contain large volumes of structured and unstructured data. Working knowledge of APIs and data integrations.
• Experience working at an e-commerce, retail, or technology company.
• Experience crafting LLM prompts.
• Our team prefers to get together in-office 1x a week.

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.

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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$99,000—$110,000 CAD

#J-18808-Ljbffr

---