Top Artificial Intelligence Project Management Jobs

Reposted 2 Days AgoSaved
In-Office
Beaverton, OR, USA
110K-151K Annually
Senior level
110K-151K Annually
Senior level
Artificial Intelligence • Hardware • Automation • Manufacturing
Lead and manage construction projects for semiconductor facilities, overseeing budgets, schedules, and compliance while coordinating with stakeholders and contractors.
Top Skills: AutocadExcelMs ProjectPowerPointProcoreSmartsheetWord
Reposted 2 Days AgoSaved
In-Office
Arlington, VA, USA
Mid level
Mid level
Artificial Intelligence • Big Data • Database • Analytics • Consulting
The Project Manager will oversee projects, manage technical teams, ensure project delivery on scope and time, and maintain client satisfaction.
Top Skills: AgileKanbanPmpScrumWaterfall
Reposted 2 Days AgoSaved
In-Office
San Jose, CA, USA
124K-271K Annually
Senior level
124K-271K Annually
Senior level
Artificial Intelligence • Information Technology • Software
Partner with Product Managers to elicit requirements for new product launches, define functional requirements and process flows, lead UAT and post-launch monitoring, collaborate with engineering and delivery teams, manage testing and defect triage, and establish project plans while communicating status, risks, and deliverables across sales, finance, billing, and operations stakeholders.
Top Skills: ConfluenceCpqEcommerceFigmaJIRALucidchartOracle FinancialsSalesforce Sales CloudZuora
Reposted 2 Days AgoSaved
In-Office
San Jose, CA, USA
Mid level
Mid level
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Semiconductor • Automation • Manufacturing
The Project Manager oversees planning, tracking, and risk management for multi-customer projects, coordinating across teams to ensure successful project execution and stakeholder communication.
Top Skills: Agile MethodologiesIso ComplianceProject ManagementTechnical Disciplines
Reposted 2 Days AgoSaved
In-Office
Cleveland, OH, USA
Entry level
Entry level
Artificial Intelligence • Software
No job responsibilities were provided in the posting; the description contains only a brief company introduction and no role-specific duties.
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Reposted 2 Days AgoSaved
Remote
United States
99K-120K Annually
Mid level
99K-120K Annually
Mid level
Artificial Intelligence • Healthtech • Software
Manage and coordinate concurrent implementations of Viz.ai products at customer hospitals. Use standard project documentation and tracking to deliver projects on time and within budget, provide client-facing training (in-person and remote), and report status, deliverables, risks, and issues. Travel up to 15% as needed.
Top Skills: Ai ToolsDicomNetworking Standards
Reposted 2 Days AgoSaved
In-Office
San Francisco, CA, USA
152K-228K Annually
Mid level
152K-228K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
Lead strategic initiatives for data collection projects to drive revenue, ensure operational efficiency, and manage diverse global teams.
Top Skills: AIComputer VisionRoboticsSQL
Reposted 2 Days AgoSaved
In-Office
San Jose, CA, USA
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Automation
Own end-to-end product/program lifecycles to deliver customer value and business results. Coordinate R&D, factory, suppliers and support; manage pricing, quotations, market analysis, marketing strategy, production schedules, cost management, customer relationships, and new business opportunities.
Top Skills: ExcelMs Office Suite 2010OutlookPowerPointServer TechnologyStorage TechnologyWord
Reposted 2 Days AgoSaved
In-Office
San Francisco, CA, USA
90K-160K Annually
Mid level
90K-160K Annually
Mid level
Artificial Intelligence • Cloud • Software
The Engagement Manager oversees project execution for Hive Data projects, improving processes, managing delivery team goals, and interface with clients.
Reposted 2 Days AgoSaved
In-Office
Boston, MA, USA
124K-198K Annually
Senior level
124K-198K Annually
Senior level
Artificial Intelligence • Cloud • Social Impact • Software • Wearables
Lead and coordinate enterprise SaaS product deployments, managing multiple medium-to-large projects across timeline, scope, budget, and compliance. Align product, engineering, sales, and client teams; mitigate risks; produce documentation for customer acceptance and revenue recognition; deliver customer training; mentor junior PMs and support hiring. Requires frequent stakeholder communication and travel.
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