Top Tech Jobs & Startup Jobs

Owns the full data-product lifecycle, including retail data imports, integrations, pipelines, metrics, reporting APIs, AI agents, and dashboards. Sets roadmap priorities, conducts retailer discovery, partners with engineering and data teams, validates product adoption, and uses SQL and analytics to measure business impact. Requires strong technical depth, enterprise customer communication, cross-functional execution, and occasional travel for store and customer visits.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

Design, operate, and scale cloud infrastructure and data pipelines to process millions of images daily. Improve reliability, lower costs, build CI/CD and deployment strategies (blue/green, canary), implement observability, and provide tooling for data access. Collaborate with backend, deep learning, and embedded teams and participate in on-call rotation to support production systems across geographies.

Build and maintain scalable Python backend services and REST APIs, contribute to React/TypeScript frontends, work with data pipelines and relational databases, support deployment/monitoring, debug full-stack customer issues, partner with product and customer success, expand test coverage and ship weekly releases.

The Senior QA Engineer will ensure product quality across UI, APIs, and backend systems, focusing on automation and testing frameworks.

Lead end-to-end customer deployments for a distributed AI camera system: map and validate customer data pipelines, diagnose data flows across Kafka/Redis/MySQL/MongoDB, manage production configurations, build tooling to automate deployments, and communicate fixes directly to customers.