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Top Artificial Intelligence Project Management Jobs
Artificial Intelligence • Information Technology • Software • Consulting
Lead post-sale implementation and delivery for a portfolio of event-organiser clients. Create and manage project plans, coordinate cross-functional teams, configure the Grip platform, manage risks and scope, attend onsite events, ensure go-live readiness, and capture process improvements to deliver events on time and to client standards.
Top Skills:
APIsCrm SystemsETLEvent AppsIntegrationsNetworking SolutionsRegistration SystemsSaas Platforms
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Consulting
Lead end-to-end federal IT proposal development from qualification through submission. Manage compliance to Section L/M, run color-team reviews, write technical/management/past performance sections, coordinate contributors, maintain proposal libraries, use GovWin IQ, and produce on-time submissions via government portals.
Top Skills:
Agency E-PortalsAgileAWSDeltek Govwin IqFedrampGsa EbuyGsa MasExcelMicrosoft WordNitaacOasis+Sam.GovSharepoint
Artificial Intelligence • Cloud • Information Technology • Professional Services
Coordinate and support IT projects across lifecycle. Prepare documentation, status reports, presentations, and Visio diagrams. Track schedules, assist stakeholders, and ensure deliverables meet timelines using MS Office tools.
Top Skills:
ExcelMS OfficePowerPointVisioWord
Artificial Intelligence • Software • Generative AI
Work with founders and the founding team to build AI-powered internal tools and automations, run GTM and community activities, and manage daily operations. Own content, events, scheduling, vendor logistics, and process design while using AI tools to automate and ship solutions.
Top Skills:
Ai AgentsAi AutomationsAi-Assisted Coding ToolsClaude
Artificial Intelligence • Software
Lead end-to-end deployments of EvolutionIQ AI products for enterprise clients, managing project plans, executive stakeholder communication, cross-functional coordination, data integrations and UAT, risk mitigation, change management, and post-go-live transition while improving deployment playbooks to ensure on-time delivery and high client satisfaction.
Top Skills:
AIAPIsData IntegrationsETLSaaS
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Artificial Intelligence • Cloud • Hardware • Machine Learning • Quantum Computing
Lead delivery of quantum hardware releases on schedule and within budget for the DARPA QBI program. Own master schedule and budget, act as primary DARPA contact, remove technical and operational blockers, align cross-functional teams, manage resources and vendors, drive process and validation improvements, and perform continuous risk analysis to prevent delays. Role requires regular travel to Toronto.
Top Skills:
AgileCritical Path AnalysisGantt
Artificial Intelligence • Social Impact
The Program Lead will manage the AIxBio Research Fellowship, directing program strategy, mentor recruitment, and stakeholder relationships to advance AI safety and biosecurity research.
Artificial Intelligence • Edtech • Social Impact • Software
Serve as Playlab's Washington lead: recruit and support a cohort of ~10 school/district partners, design and deliver professional learning, coach educators on AI integration, coordinate with Gonzaga and ESDs, run three in-person convenings, support AI Innovation Index assessment, and bring field insights to improve Playlab's platform and programs.
Top Skills:
ChatgptClaudeLlmsPlaylab
Artificial Intelligence • Robotics • Software
Own and coordinate cross-functional pilot and go-to-market projects: track schedules, risks, requirements, meetings, and status; translate technical details into executive updates and deliver independent projects to scale pilot operations.
Top Skills:
ConfluenceFigmaGoogle WorkspaceJIRASalesforceSlack
Artificial Intelligence • Cloud • Edtech • Information Technology
Manage the full change lifecycle: gather functional requirements, coordinate across Front Office/Operations/Technology, prepare and manage User Acceptance Testing, track delivery status, identify and mitigate risks and issues, and adhere to enterprise change management standards.
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