Lumana
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Recently posted jobs
Artificial Intelligence • Software
Design web and mobile product experiences from problem definition through implementation. Create user flows, wireframes, prototypes, and polished interfaces; collaborate with Product, Engineering, leadership, and customer-facing teams; present and defend design recommendations; conduct testing and refinement; support implementation; and contribute to the design system.
Artificial Intelligence • Software
Troubleshoot and resolve hardware, software, networking, infrastructure, and system integration issues across deployed cloud and edge environments. Configure and maintain servers, virtual machines, operating systems, storage, routers, switches, firewalls, VPNs, and WAN connectivity. Monitor performance, support incident response, validate hardware and software, develop diagnostic automation, and document resolutions while partnering with Engineering, QA, Product, and field teams.
Artificial Intelligence • Software
Own revenue operations across Sales, Marketing, and Customer Success. Responsibilities include forecasting, pipeline and funnel analysis, GTM technology management, dashboard and report development, deal desk operations, process documentation, and cross-functional alignment with Finance and Product. The role supports scalable growth through data-driven decision-making, operational improvements, and enablement workflows in a global SaaS startup.
Artificial Intelligence • Software
Supports channel partners through technical enablement, training, certifications, solution design, architecture discussions, demonstrations, and pre-sales engagements. Builds relationships with partner engineers and technical decision-makers, develops scalable enablement content, coaches customer-facing presentations, gathers market feedback, and collaborates with Sales, Product, Marketing, Customer Success, and Solutions Engineering. The remote U.S. role requires approximately 40% travel across North America.
Artificial Intelligence • Software
Build and optimize Lumana's hybrid edge platform across diverse hardware: implement video management, low-latency real-time processing, secure edge-cloud communication, collaborate with AI/ML teams to deploy models on-device, perform code reviews, debugging, and performance tuning.
Artificial Intelligence • Software
The Software Engineer - Cloud will build and maintain a core cloud platform for real-time video processing, support various cloud services, collaborate across teams, and ensure reliable system performance.



