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 end-to-end implementations of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. You’ll serve as the primary client/partner point of contact, translate business requirements into AI deployment strategies, coordinate multi-stakeholder rollouts from scoping to production, and align client expectations with product capabilities. Partner with product, engineering, and research teams while maintaining governance, risk tracking, and executive reporting across concurrent deployments.

Location: Brussels

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 expectation alignment.
•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 roadmaps, milestones, and dependencies.
•Coordinate with product, engineering, and research teams to align on QVAC capabilities and limitations, and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, track risks and progress across deployments, produce executive updates, and document architectures and learnings.

Key Requirements

•5+ years of experience in program management, technical account management, or delivery roles in AI, data infrastructure, or complex technology environments.
•Manage cross-functional implementations across internal teams, clients, and external partners.
•Familiarity with AI/ML deployment concepts including model inference, edge/local AI, and distributed compute architectures.
•Understand APIs, SDK integrations, and system architecture patterns, and engage in technical discussions with engineering teams.
•Strong communication and stakeholder management experience, including working with enterprise or government entities.

Experience:FintechAI/MLData infrastructureDecentralized technologiesPrivacy-preserving systems

Education:Bachelor's

Skills:CommunicationStakeholder managementCross-functional coordinationGovernance & reportingManaging ambiguity

Languages:English

Tech Stack:QVACSDKAPIsUSDTKEETEdge AILocal inferenceDelegated inferencePrivacy-preserving inferenceBlockchainPythonCLI toolsMLOps

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

Loading job details...

Preparing the role view and application actions.

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: Brussels

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 expectation alignment.
•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 roadmaps, milestones, and dependencies.
•Coordinate with product, engineering, and research teams to align on QVAC capabilities and limitations, and facilitate integration between client systems and QVAC components.
•Establish governance frameworks, track risks and progress across deployments, produce executive updates, and document architectures and learnings.

Key Requirements

•5+ years of experience in program management, technical account management, or delivery roles in AI, data infrastructure, or complex technology environments.
•Manage cross-functional implementations across internal teams, clients, and external partners.
•Familiarity with AI/ML deployment concepts including model inference, edge/local AI, and distributed compute architectures.
•Understand APIs, SDK integrations, and system architecture patterns, and engage in technical discussions with engineering teams.
•Strong communication and stakeholder management experience, including working with enterprise or government entities.

Experience:FintechAI/MLData infrastructureDecentralized technologiesPrivacy-preserving systems

Education:Bachelor's

Skills:CommunicationStakeholder managementCross-functional coordinationGovernance & reportingManaging ambiguity

Languages:English

Tech Stack:QVACSDKAPIsUSDTKEETEdge AILocal inferenceDelegated inferencePrivacy-preserving inferenceBlockchainPythonCLI toolsMLOps

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