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

Lead the implementation of AI-driven initiatives powered by QVAC across enterprise, government, and institutional environments. You’ll act as the primary client and partner contact, translate business requirements into AI deployment strategies, and coordinate end-to-end delivery—from kickoff and roadmap planning to production rollout. Collaborate with product, engineering, and research teams to integrate QVAC with client systems, manage governance and risks, and provide executive updates for multiple concurrent deployments.

Location: Milan

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication and structured execution.
•Translate business requirements into AI deployment strategies using QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
•Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment, including roadmap and milestone planning.
•Coordinate with product, engineering, and research teams to align on QVAC capabilities and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, track risks, produce executive-level progress updates, document architectures and learnings, and support escalation management.

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 internal teams, clients, and 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 experience working with enterprise or government entities.

Experience:5+ yearsAIData infrastructureComplex technologyEdge AIDistributed systemsGovernmentEnterprise

Education:Bachelor's

Skills:CommunicationStakeholder managementTechnical-business alignmentProject trackingGovernance

Languages:English

Tech Stack:AIAI/MLQVACSDKLocal inferenceDelegated inferenceDelegated computePrivacy-preserving architecturesDistributed computeEdge/local AIModel deployment pipelinesAPIsMLOpsPythonBlockchainKEETCLI toolsDecentralized AI

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: Milan

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication and structured execution.
•Translate business requirements into AI deployment strategies using QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
•Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment, including roadmap and milestone planning.
•Coordinate with product, engineering, and research teams to align on QVAC capabilities and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, track risks, produce executive-level progress updates, document architectures and learnings, and support escalation management.

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 internal teams, clients, and 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 experience working with enterprise or government entities.

Experience:5+ yearsAIData infrastructureComplex technologyEdge AIDistributed systemsGovernmentEnterprise

Education:Bachelor's

Skills:CommunicationStakeholder managementTechnical-business alignmentProject trackingGovernance

Languages:English

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