Engagement Manager, AI Implementations in Madrid

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.

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.

But that's just the beginning:

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.

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.

• 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.

• 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.

• 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.

• 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.