AI Project & Operations Manager
New
J
JobgetherIndustrial AI software
Based in the United States, Colleagues across Israel and other time zonesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- At least 10 years of experience managing complex technology projects from initiation through delivery
- Required Skills
- JiraCross-functional Team LeadershipAzure DevOpsRisk Management
Requirements
- At least 10 years of experience managing complex technology projects from initiation through delivery.
- Experience managing scope, schedules, dependencies, risks, and stakeholder reporting.
- Demonstrated success coordinating planning across multiple engineering or technical teams, including quarterly or release-train planning.
- Ability to recover at-risk projects through structured planning, stakeholder alignment, and disciplined execution.
- Hands-on experience with Azure DevOps or Jira.
- Experience delivering, integrating, or deploying manufacturing software in plant environments, particularly MES and MOM/MOS platforms.
- Experience establishing operating rhythms, including planning cycles, business reviews, decision logs, and action tracking.
- Ability to build KPIs and dashboards that support executive decision-making.
- Experience designing scalable processes, handoffs, and playbooks.
- Experience leading or coordinating globally distributed engineering and quality assurance teams across time zones without direct reporting authority.
- Strong written and verbal communication, organizational, risk management, execution, and cross-functional leadership skills.
- Preferred: industrial, chemical, or manufacturing software delivery; software development leadership; startup or early-stage product deployment; customer-facing delivery; PMP, Agile, or equivalent certification; familiarity with industrial data, plant connectivity, historians, OPC, and IoT platforms.
Responsibilities
- Own quarterly commitments across engineering, R&D, and customer delivery, managing scope, schedules, dependencies, risks, decisions, and stakeholder reporting.
- Coordinate planning across technical and delivery teams, translating priorities into plans with responsibilities, milestones, and deadlines.
- Identify at-risk initiatives, develop recovery plans, align stakeholders, resolve dependencies, and restore delivery confidence.
- Establish planning cycles, business reviews, decision tracking, and action follow-through.
- Develop executive-ready KPIs and dashboards for delivery progress, operational health, risks, and business outcomes.
- Design processes, handoffs, and playbooks for consistent customer launches and future deployments.
- Coordinate integration and deployment of manufacturing software, including MES and MOM/MOS platforms.
- Support plant connectivity, software deployment, training, operational adoption, and value realization in customer environments.
- Coordinate globally distributed data science and modeling teams and partner with customer success managers and forward-deployed engineers.
- Use Azure DevOps and Jira to track execution and accountability, and communicate delivery challenges, risks, trade-offs, and decisions.
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