Team Lead, Catalog Selection And Quality Operations

Summary

Join Instacart's Selection & Quality Operations team as a key player in enhancing catalog data quality and selection. You will collaborate with cross-functional teams, including Catalog Product, Machine Learning, and Engineering, to implement strategies for improving data quality. Responsibilities include building LLM prompts, developing ground truth datasets, assessing ML model performance, troubleshooting complex data issues, and mentoring junior team members. The ideal candidate possesses 5-7 years of experience in technical support, project management, or data analysis, a Bachelor's degree in a related field, and proficiency in SQL. This remote role offers a competitive salary, equity grants, and benefits, with occasional weekend work required.

Requirements

• 5-7 years of working experience in roles that involve technical support, project management, project delivery, stakeholder management, and/or data analysis/analytics
• Bachelor’s degree in IT management, or related field
• Proficiency in troubleshooting complex data issues
• Experience leading cross-functional projects end-to-end, with strong communication and stakeholder management skills
• Strong attention to detail
• Proven track record of strong ownership and bias to action to drive key business results
• Blend of business acumen and technical understanding for 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

Responsibilities

• Scale data quality issue detection using ML
• Collaborate with ML on attribute ML models and human-in-the-loop methodologies
• Build ground truth datasets
• Advise ML on what input data should be used
• Define instructions for how to define quality
• Independently lead key projects and manage against catalog OKRs
• Collaborate and align with a cross-functional team of technical and non-technical stakeholders to achieve the goals of a project within a defined timeframe
• Collaborate with Product, Engineering, Data Science, and ML on projects (e.g., reduce # of catalog errors in a system)
• Lead the development of scalable solutions that enhance the accuracy, reliability, and efficiency of data processing and integration pipelines
• Implement and manage processes to support the ongoing operations for new Enterprise products
• Manage and resolve Tier 2 complex data issues, ensuring minimal disruptions to operations
• Identify key trends across disparate issues
• Collaborate with cross-functional teams to develop lasting solutions
• Design, develop, and deploy monitoring systems to track system health, data flow, and potential integration issues across various platforms
• Create comprehensive error reporting mechanisms that provide clear, actionable insights for both internal teams and external partners
• Develop and maintain documentation for technical processes, issue resolution, and system monitoring tools
• Serve as a trusted resource for team members
• Provide guidance and mentorship to junior team members
• Train team members on how to troubleshoot
• Foster a collaborative and solution-focused team culture

Preferred Qualifications

• Experience working closely with Product, Engineering, ML, and Data Science teams preferred
• 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
• Experience in a B2B / Enterprise setting is an advantage

Benefits

• Highly market-competitive compensation and benefits
• Remote work
• New hire equity grant
• Annual refresh grants
• $134,000 — $149,000 CAD (base pay range)