Senior Product Manager

This role leads the strategy and roadmap for data products, focusing on enabling data-driven decision-making across the organization. The Senior Data Product Manager will define requirements, prioritize features, and collaborate with engineering and analytics teams to deliver scalable data solutions.

Manages the product roadmap and development for Fullpath's Customer Data Platform (CDP), defining features and priorities. Collaborates with engineering and stakeholders to deliver data-driven solutions.

This Staff Product Manager defines the vision and strategy for the data platform, ensuring it supports the global advertising business and enables AI-native products. The role involves building a multi-year roadmap, partnering with engineering on data ingestion, processing, storage, and serving, and aligning stakeholders across product, data science, and business leadership to make trusted data easier to use.

Defines and executes the product roadmap for data insights features, enabling customers to leverage analytics for better decision-making. Focuses on delivering analytics capabilities that drive customer value.

This Director of Analytics role leads the analytics function, setting the strategy for data-driven decision-making across the retail AI organization. The role involves building and managing a team of analysts, defining KPIs, and delivering insights to executive stakeholders. Key challenges include scaling analytics infrastructure and driving adoption of data products across the business.

This Data/Reporting Team Lead role manages a team responsible for building and maintaining reporting pipelines and dashboards for retail AI operations. The role involves designing data models, ensuring data quality, and delivering actionable insights to internal and external stakeholders. Key challenges include optimizing reporting performance and automating data workflows.

This role involves owning and evolving Focal Systems' production infrastructure, focusing on cloud, data pipelines, deployments, and observability to handle millions of images per day from retail locations globally. The engineer will architect scalable data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and GCP, and implement CI/CD pipelines with blue/green and canary deployments. This requires 5+ years of infrastructure experience, production GCP experience, and a software development background in Python.