Engagement Manager, AI Implementations

Tether Operations Limited; Deutschland; Remote; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Tether Data is seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. You will orchestrate complex, multi-stakeholder deployments across enterprise, government, and institutional environments.

This role combines client engagement, technical coordination, and delivery oversight to ensure onboarding and successful execution of AI use cases, from edge AI deployments to privacy-preserving inference systems.

Qualifikationen

• 5+ years in program management or delivery roles within AI, data infrastructure, or complex technology environments.
• Experience coordinating cross-functional implementations involving multiple stakeholders (clients, partners, internal teams).
• Ability to translate business requirements into AI deployment strategies and align with product capabilities.

Aufgaben

• 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.
• Ensure alignment between client expectations and product capabilities, avoiding scope drift.
• Produce executive-level updates summarizing progress, risks, blockers, and next steps.
• Coordinate with product, engineering, and research teams to align capabilities and roadmap evolution.
• Maintain governance frameworks including plans, risk tracking, and decision logs.

Kenntnisse

Program management

Delivery management

Stakeholder management

AI deployments

Client engagement

Cross-functional collaboration

Tools

APIs

SDK integrations

Cloud platforms

Jobbeschreibung

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance

Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

Tether Power

Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data

Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education

Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution

At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.

This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.

Client & Partner Engagement

• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
• Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
• Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
• Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.

Implementations Oversight

• 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.
• Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
• Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.

Cross-functional Coordination

• Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
• Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
• Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
• Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.

Governance & Reporting

• Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
• Produce executive-level updates summarizing progress, risks, blockers, and next steps.
• Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
• Support escalation management and ensure timely resolution of technical or operational challenges.

Core Experience

• 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.

Technical Understanding

• 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.
• Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.

Communication & Execution

• Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
• Structured approach to project tracking, documentation, and governance.
• Ability to manage ambiguity and operate in fast-evolving, early-stage environments.

Nice to Have

• Experience with decentralized technologies, blockchain, or privacy-preserving systems.
• Exposure to AI infrastructure tooling or MLOps workflows.
• Experience in regulated industries or public sector projects.
• Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).