Top Tech Jobs & Startup Jobs

As a Senior Software Engineer, you will design and develop backend solutions for cloud-based systems, ensuring reliability and performance while guiding junior engineers and maintaining documentation.

As a Software Engineer II, you'll build and maintain cloud backend services for live video streaming and recording, ensuring reliability and performance while collaborating with cross-functional teams.

The ECommerce Growth Manager will optimize the digital customer journey, enhance site performance, and leverage AI to drive growth through data-driven decisions and experimentation.

Lead and manage the technical strategy and operations for ecommerce platforms, focusing on experimentation, data governance, and AI workflows, while ensuring cross-functional collaboration and operational excellence.

The Staff Technical Program Manager will lead cross-organizational programs at SimpliSafe, facilitating technical solutions, managing complex project timelines, and improving engineering efficiency while aligning teams with business goals.

As a Senior RF Systems Engineer, you will lead RF product development and validation, choosing chipsets, optimizing designs, and guiding ODMs through product testing and qualification.

Lead the transformation of customer experience through automation and AI, define the roadmap, and build cross-functional relationships to enhance service and retention.

The Product Manager, Growth leads strategy and execution of product features, collaborates cross-functionally, and optimizes performance through data-driven decisions and Agile methodologies.

The role involves leading pricing and promotional strategies, conducting data analysis, managing one direct report, and communicating findings to stakeholders. It requires strong analytical skills and proficiency in SQL.

Lead development and deployment of real-time, on-device computer vision models for outdoor home monitoring. Architect, train, and optimize transformer/CNN-hybrid models for embedded cameras, ensuring accuracy, latency, memory, and power budgets. Collaborate with firmware and platform teams, define evaluation strategies, perform failure analysis, improve long-tail robustness, and mentor engineers while setting technical direction and best practices for reproducible edge ML workflows.