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, coordinating multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. Own end-to-end delivery from kickoff to production rollout, translating business requirements into deployment strategies using QVAC capabilities. Collaborate with product, engineering, and research teams, manage milestones and dependencies, maintain governance and risk tracking, and provide executive-level reporting to ensure successful onboarding and execution of AI use cases.

Location: Warsaw

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 leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
•Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
•Coordinate with product, engineering, and research teams, including integrating client systems with QVAC components such as model deployment pipelines and APIs.
•Establish governance and reporting, including risk tracking, decision logs, executive updates, and documentation of architectures and deployment patterns.

Key Requirements

•5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
•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+ yearsFintechAI/MLData infrastructureDecentralized technologyPrivacy-preserving systems

Education:Bachelor's

Skills:CommunicationStakeholder managementGovernanceDocumentationManaging ambiguity

Languages:English

Tech Stack:QVACSDKAI/MLLocal inferenceDelegated computePrivacy-preserving architecturesAPIsPythonCLI toolsMLOpsModel deployment pipelines

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: Warsaw

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 leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
•Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
•Coordinate with product, engineering, and research teams, including integrating client systems with QVAC components such as model deployment pipelines and APIs.
•Establish governance and reporting, including risk tracking, decision logs, executive updates, and documentation of architectures and deployment patterns.

Key Requirements

•5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
•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+ yearsFintechAI/MLData infrastructureDecentralized technologyPrivacy-preserving systems

Education:Bachelor's

Skills:CommunicationStakeholder managementGovernanceDocumentationManaging ambiguity

Languages:English

Tech Stack:QVACSDKAI/MLLocal inferenceDelegated computePrivacy-preserving architecturesAPIsPythonCLI toolsMLOpsModel deployment pipelines

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