Enrichment Operations Analyst, Instacart

• 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

Desirable

• 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
• 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
• 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