Engagement Manager, AI Implementations

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

📋 Description

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

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

• Collaborate with the Expansion team to shape AI-related opportunities by offering insights on feasibility, integration complexity, and delivery methodologies.

• Identify potential for extending implementations across additional use cases, regions, or Tether technologies.

• Oversee the full coordination of QVAC-based implementations from initiation to production deployment.

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

• Ensure that client expectations align with actual product capabilities to prevent scope drift or misrepresentation.

• Monitor progress across multiple simultaneous AI deployments, ensuring on-time delivery and readiness for production settings.

• Collaborate closely with product, engineering, and research teams to align on QVAC capabilities, constraints, and roadmap developments.

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

• Partner with legal and compliance teams as necessary, especially in sensitive AI deployments related to data locality or privacy issues.

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

• Establish and uphold governance frameworks, including implementation plans, risk tracking, and decision logs.

• Generate executive-level updates summarizing progress, risks, obstacles, and next steps.

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

• Assist with escalation management and ensure timely resolution of technical or operational challenges.

⛳️ Requirements

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

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

• Strong aptitude for operating at the intersection of technical and business domains.

• Familiarity with AI/ML deployment concepts, such as model inference, edge/local AI, and distributed compute architectures.

• Understanding of APIs, SDK integrations, and system architecture patterns.

• Capability to engage in technical discussions with engineering teams while maintaining clarity at the business level with clients.

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

• A structured approach to project tracking, documentation, and governance.

• Ability to thrive amidst ambiguity and navigate fast-evolving, early-stage environments.

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

• Exposure to AI infrastructure tools or MLOps workflows.

• Experience in regulated industries or public sector projects.

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

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Professional development opportunities