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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.

Contribute to backend microservices that ingest, process, store, and deliver live and recorded video. Learn from senior engineers, write well-tested code, debug and improve distributed systems, participate in design reviews, document systems, and join on-call rotation after onboarding.

Join the Device Cloud Services backend team to learn and contribute to large-scale distributed systems that provide customers real-time control of home security devices. Implement well-tested, reliable services, write automated tests, debug and improve existing systems, document work, participate in code reviews, use AI-assisted developer tools, and after ramp-up join the on-call rotation with mentorship from senior engineers.

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 SimpliSafe's AI organization to define and execute company-wide AI strategy, own AI product roadmap, build cloud and on-device ML/CV platform, manage budget and hiring, partner with Product and Engineering, and translate cutting-edge research into consumer AI features for constrained devices like cameras.

Lead end-to-end program management for Retail, Partnerships, and Field Sales initiatives. Align cross-functional stakeholders, manage budgets and risks, build scalable PM frameworks, report KPIs to executives, and drive operational improvements to deliver GTM and sales expansion programs on time and on budget.

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.

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.

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.