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Tether.to

Engagement Manager, AI Implementations

Tether.to

. Act as the primary point of contact for clients and partners during AI implementation initiatives.

Posted 5/15/2026full-timeRemote • 🇫🇷 FranceMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Act as the primary point of contact for clients and partners during AI implementation initiatives.
  • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities.
  • 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.
  • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities.
  • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.

Requirements

What you’ll need
  • 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
  • Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
  • Strong ability to operate at the intersection of technical and business domains.
  • Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
  • Understanding of APIs, SDK integrations, and system architecture patterns.
  • Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
  • Ability to manage ambiguity and operate in fast-evolving, early-stage environments.

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI implementationAI deployment strategiesprogram managementtechnical account managementcross-functional implementationsmodel inferenceedge AIdistributed compute architecturesAPIsSDK integrations
Soft Skills
communicationstakeholder managementability to manage ambiguityoperating in fast-evolving environments