New York, New York, USA
1 day ago
Catalog Quality and GenAi Specialist
**About the Role** Uber is transforming the future of grocery & retail, building the world’s best and most intelligent marketplace for on-demand delivery of all local commerce. At the core of this transformation is our Product Catalog. As Catalog Quality & AI Integration Manager, you will drive next-level innovation across our global catalog operations. You’ll lead high-priority catalog migrations, embed LLM powered solutions into our operational pipelines, and proactively design workflows to elevate catalog quality through analytics and automation. You’ll work at the intersection of tech, data science, and operations owning a key strategic role to enhance data quality, reduce errors, and scale smarter tools across countries. **What You Will Do** - Lead end-to-end catalog migrations from acquired grocery & retail businesses, ensuring quality and operational consistency. - Design and implement automated catalog quality systems using business rules, SQL logic, and real-time data feedback to detect and prevent catalog errors. - Drive continuous improvement in catalog quality through a proactive analytical workflow, leveraging dashboards, metrics tracking, and performance loops. - Define and execute LLM-based catalog use cases (e.g., pack size detection, attribute inference, image validation) in partnership with data science teams. - Coordinate ChatGPT prompt testing cycles, agent-based evaluations, and rollout plans for scalable adoption of AI tools. - Prioritize manual and automated content corrections based on data-driven insights and business urgency. - Act as a central liaison between local ops, global strategy, engineering, and product teams to ensure AI integration aligns with real-world catalog needs. - Document processes, tools, and results to support global enablement and best-practice adoption. **Basic Qualifications** - 5+ years of experience of professional work experience in a related field (operations, strategy, analytics, tech) - Advanced SQL and Python skills, with strong experience building analytical workflows and dashboards. - Proven experience leading strategic projects involving tight deadlines and multiple stakeholders. - Strong communication skills to navigate both technical and non-technical stakeholders. - Self-starter with a proactive, ownership-driven mindset and the ability to manage complexity. - Ability to balance multiple workstreams, prioritize effectively, and operate autonomously. **Preferred Qualifications** - Familiarity with ChatGPT, Gemini, or similar LLM platforms for attribute detection or content enhancement. - Knowledge of product taxonomy structures, attribute normalization, and data governance in grocery or retail. For New York, NY-based roles: The base salary range for this role is USD$129,000 per year - USD$143,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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