• Own end-to-end delivery of flagship AI initiatives, including high-volume creative workflows with distributed teams of 200+ specialists. • Help enterprise clients assess and redesign their creative supply chains using AI, automation, and human-in-the-loop systems. • Monitor throughput, time-per-task, and quality metrics, and rapidly adjust capacity or workflows to meet changing client needs. • Serve as the primary point of contact for senior client stakeholders, managing expectations, roadmaps, and performance reviews. • Translate complex requirements into repeatable, scalable internal processes and delivery models. • Use insights from high-volume programs to inform Superside’s broader AI consulting playbooks and best practices.

• Partner Ecosystem Growth: Identify and recruit high-value partners in the logistics and automation space who can benefit from adding autonomous inventory monitoring to their portfolio. • Enablement & Training: Lead technical and commercial workshops to ensure partners can confidently pitch, demo, and support Gather AI’s Physical AI platform. • Strategic Co-Selling: Work alongside partner sales teams to navigate complex enterprise deals, ensuring the value proposition of "real-time warehouse visibility" is clearly communicated. • Integration Advocacy: Collaborate with partners to ensure Gather AI’s data feeds seamlessly into their customers' existing Warehouse Management Systems (WMS) and ERP platforms. • Market Feedback Loop: Act as the "eyes and ears" in the field, funneling partner insights back to the Product team to help shape the future of our Physical AI capabilities.

• Design, build, and deploy AI agents using Microsoft Copilot Studio, aligned to real business processes and roles. • Translate manual or semi-structured business workflows into autonomous agents using low-code/no-code tools within the Microsoft ecosystem. • Implement agentic behaviors, including planning, tool use, contextual memory, and reflection, to deliver intelligent task execution. • Integrate Copilot solutions with enterprise systems such as Power BI, SharePoint, Outlook, and Teams. • Support internal teams in enablement, governance, lifecycle management, and safe experimentation with Copilot agents. • Develop and iterate on prompt templates, AI guardrails, fallback strategies, and continuous feedback loops to improve agent performance. • Partner with IT, data, and security teams to ensure responsible, governed, and scalable agent deployments.

• Collaborating with internal and external stakeholders to advance research projects • Developing innovative AI/LLM solutions to addressing emerging power system needs • Contributing and/or leading the writing of research papers.