Engagement Manager, AI Implementations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. Orchestrate multi-stakeholder, decentralized AI deployments across enterprise, government, and institutional environments—covering scoping, roadmap creation, and production rollout. Serve as the primary point of contact for clients and partners, coordinate with product/engineering/research, manage governance and risks, and ensure timelines and execution meet client expectations.

Location: Amsterdam

Workplace: Remote

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Key Responsibilities

•Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication and structured execution.
•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 with product, engineering, and research teams to align on QVAC capabilities and roadmap evolution, and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, produce executive-level updates, document architectures and learnings, and support escalation management to resolve technical or operational challenges.

Key Requirements

•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 with multiple stakeholders (internal teams, clients, external partners).
•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 work with enterprise or government entities.

Experience:5+ yearsAIData infrastructure

Education:Bachelor's

Skills:CommunicationStakeholder managementGovernanceRisk trackingDocumentation

Languages:English

Tech Stack:QVACSDKUSDTKEETAPIsAI/MLEdge AIDelegated inferencePrivacy-preserving architecturesDistributed computeMLOpsBlockchainDecentralized technologies

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website

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Tether.io

3 days ago

Engagement Manager, AI Implementations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Amsterdam

Workplace: Remote

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Key Responsibilities

•Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication and structured execution.
•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 with product, engineering, and research teams to align on QVAC capabilities and roadmap evolution, and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, produce executive-level updates, document architectures and learnings, and support escalation management to resolve technical or operational challenges.

Key Requirements

•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 with multiple stakeholders (internal teams, clients, external partners).
•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 work with enterprise or government entities.

Experience:5+ yearsAIData infrastructure

Education:Bachelor's

Skills:CommunicationStakeholder managementGovernanceRisk trackingDocumentation

Languages:English

Tech Stack:QVACSDKUSDTKEETAPIsAI/MLEdge AIDelegated inferencePrivacy-preserving architecturesDistributed computeMLOpsBlockchainDecentralized technologies

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website