Engagement Manager, AI Implementations
Pubblicato il 17-08-2026 - Altro in Roma
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether's SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environment