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Engagement Manager, AI Implementations

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 11-50Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Poland

Posted

49 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishPython

Job Description

Engagement Manager, AI Implementations

Tether.to

• Act as the primary point of contact for clients and partners during AI implementation initiatives. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities. • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • 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. • 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. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps.

Job Requirements

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

Benefits

  • Remote work opportunities

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