Engagement Manager, AI Implementations

This is a fully remote position, open to applicants in Germany.

📋 Description

• Serve as the main point of contact for clients and partners throughout AI implementation projects, ensuring effective communication, alignment of expectations, and methodical execution.

• Assist clients in converting business needs into AI deployment strategies utilizing QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).

• Aid the Expansion team in identifying AI-related opportunities by offering insights on feasibility, integration complexity, and delivery methods.

• Discover opportunities to broaden implementations across various use cases, regions, or Tether technologies.

• Oversee the comprehensive coordination of QVAC-based implementations from initial kickoff through to final production deployment.

• Establish implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.

• Ensure that client expectations align with actual product functionalities, preventing scope creep or misalignment.

• Monitor progress across multiple simultaneous AI deployments to guarantee timely delivery and readiness for production settings.

• Work closely with product, engineering, and research teams to synchronize on QVAC capabilities, limitations, and roadmap advancements.

• Facilitate the integration of client systems with QVAC components, including model deployment pipelines, APIs, and computing environments.

• Collaborate with legal and compliance teams as necessary, especially in sensitive AI deployments involving data locality or privacy constraints.

• Maintain organized communication channels among all stakeholders involved in the implementation process.

• Develop and uphold governance frameworks that include implementation plans, risk tracking, and decision logs.

• Generate executive-level updates that summarize progress, risks, obstacles, and subsequent steps.

• Ensure the documentation of implementation architectures, deployment patterns, and key insights for future project reuse.

• Assist in managing escalations and ensure the prompt resolution of technical or operational issues.

⛳️ Requirements

• Over 5 years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.

• Demonstrated experience in managing cross-functional implementations that involve multiple stakeholders (internal teams, clients, external partners).

• Strong capability to operate at the intersection of technical and business domains.

• Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed computing 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.

• Excellent communication and stakeholder management skills, including experience working with enterprise or government entities.

• Methodical approach to project tracking, documentation, and governance.

• Capacity to navigate ambiguity and function in fast-paced, early-stage environments.

• Experience with decentralized technologies, blockchain, or privacy-preserving systems is a plus.

• Familiarity with AI infrastructure tools or MLOps workflows is a plus.

• Experience in regulated industries or public sector projects is a plus.

• Basic knowledge of programming or scripting environments (Python, APIs, CLI tools) is a plus.

🏝️ Benefits

• Flexible work arrangements

• Professional development opportunities