Top Tech Jobs & Startup Jobs

Lead teams to design, build, and operate scalable, AI-ready data pipelines and ecommerce data products (especially Shopify). Build semantic layers, curated data marts, and data models; ensure data quality, monitoring, and performance. Collaborate with data scientists, analysts, and governance to support feature engineering, ML datasets, and reliable downstream consumption.

Lead strategy and execution of enterprise eCommerce data products to provide authoritative, AI-ready sources of truth for sales, orders, customers, products, subscriptions, and marketing. Partner with business, engineering, analytics, and governance teams to define metrics, semantic models, SLAs, monitoring, data contracts, and adoption to enable reporting, predictive models, and AI applications.

Operate and support global infrastructure: troubleshoot servers and cloud systems, monitor alerts, manage incidents, maintain backups and DR, document processes, automate routine tasks, participate in on-call/shift rotation, and collaborate with vendors and global IT teams to ensure service reliability.

Lead end-to-end global people programs and analytics for PIC: manage scope, timelines, governance, and cross-functional stakeholders; design workforce dashboards, KPIs, DEI/ESG and regulatory reporting; translate data into executive insights; optimize reporting, automation, and data governance; mentor junior team members and ensure audit-ready outputs.

The Senior Product Manager will lead strategy and execution for data products within the Global Data & Analytics team, focusing on analytics, ML, and AI use cases while partnering with engineering and stakeholders to deliver scalable solutions.

The IAM Engineer will design, implement, and operate Identity Governance & Administration solutions, manage identity lifecycle processes, and ensure access governance controls align with security policies.