AI Project & Operations Manager

Accountabilities The role is responsible for ensuring disciplined execution across technical development and customer delivery while building the operational foundations needed for sustainable growth. Key responsibilities include:

• Own quarterly commitments across engineering, R&D, and customer delivery, managing scope, schedules, dependencies, risks, decisions, and stakeholder reporting.

• Coordinate planning across multiple technical and delivery teams, translating shared priorities into actionable plans with clear responsibilities, milestones, and deadlines.

• Identify at-risk initiatives early, develop recovery plans, align stakeholders, resolve dependencies, and restore delivery confidence.

• Establish and manage the business operating cadence, including planning cycles, business reviews, decision tracking, and action follow-through.

• Develop executive-ready KPIs and dashboards that provide visibility into delivery progress, operational health, risks, and business outcomes.

• Design scalable processes, handoffs, and playbooks to support consistent customer launches and future deployments.

• Connect Platform and IT teams with R&D and Customer Delivery, coordinating the integration and deployment of manufacturing software, including Manufacturing Execution Systems (MES) and Manufacturing Operations Management (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, including colleagues across Israel and other time zones.

• Partner with customer success managers and forward-deployed engineers to support successful implementation and customer outcomes.

• Use project management tools such as Azure DevOps and Jira to improve transparency, track execution, and maintain accountability across workstreams.

• Communicate delivery challenges, risks, trade-offs, and decisions clearly to technical teams, field organizations, customers, and senior leadership.

• Apply lessons learned from current deployments to continuously improve planning, execution, and future launch processes.

Requirements

The ideal candidate is an experienced technology program manager with strong operational capabilities, a track record of delivering complex initiatives, and the ability to influence cross-functional teams without relying on formal authority. Required qualifications include:

• At least 10 years of experience managing complex technology projects from initiation through delivery, including scope, schedules, dependencies, risks, and stakeholder reporting.

• Demonstrated success coordinating planning across multiple engineering or technical teams, including quarterly or release-train planning, with measurable delivery results.

• Proven ability to recover at-risk projects through structured planning, stakeholder alignment, and disciplined execution.

• Hands-on experience with project management and delivery tools such as Azure DevOps or Jira.

• Experience delivering, integrating, or deploying manufacturing software in plant environments, particularly MES and MOM/MOS platforms, with an understanding of operational adoption.

• Experience establishing and managing business operating rhythms, including planning cycles, business reviews, decision logs, and action tracking.

• Proven ability to build KPIs and dashboards that support executive decision-making.

• Experience designing scalable processes, handoffs, and playbooks that are adopted by teams and evolve as organizations grow.

• Experience leading or coordinating large, globally distributed engineering and quality assurance teams across different time zones without direct reporting authority.

• Excellent written and verbal communication skills, with the ability to engage effectively with technical teams, field organizations, customers, and senior leaders.

• Strong execution discipline, organizational skills, risk management capabilities, and cross-functional leadership.

Preferred qualifications include:

• Experience delivering digital or software products within industrial, chemical, or manufacturing environments, ideally for external customers.

• Previous software development leadership experience, such as working as a developer, lead developer, or engineering manager.

• Experience in a startup or early-stage business, particularly taking an alpha product, prototype, or pilot into production and repeatable deployment.

• Background coordinating customer-facing delivery teams, including customer success, implementation, or field engineering.

• PMP, Agile, or an equivalent recognized project management certification.

• Familiarity with industrial data and plant connectivity technologies, including MES, MOM/MOS, historians, OPC, and IoT platforms, or the ability and motivation to develop expertise in these areas quickly.

Benefits

• Opportunity to help scale an AI-powered software platform for industrial manufacturing.

• Senior individual contributor position with broad influence across engineering, R&D, IT, data science, and customer delivery.

• Exposure to global teams and complex technology deployments in manufacturing environments.

• Opportunity to build operational processes, delivery frameworks, and scalable customer launch models.

• Professional growth through involvement in industrial AI, manufacturing technologies, and cross-functional transformation initiatives.

• Inclusive, collaborative work environment focused on innovation, sustainability, safety, and continuous development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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