Join Razor Labs, a leader in the mining tech sector, specializes in predictive maintenance with our flagship product, DataMind AI™. Our AI Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety.

Publicly traded on the Tel Aviv Stock Exchange, we have a strong presence in key mining regions, including Australia and South Africa, where our solutions have driven significant improvements.

As part of our team, you’ll collaborate with the brightest minds, tackling the most complex problems and shaping the future of industrial technology. Together, we can build smarter, greener and safer industries of tomorrow.

Current Job Openings

Senior Technical Project Manager

Sydney, Aaustralia

About The Position

As a Senior Technical Project Manager at Razor Labs, you will oversee technological projects within the mining sector, primarily at client sites across Australia. This role requires close collaboration with clients to ensure their needs are met throughout the project lifecycle. Responsibilities include project planning, resource allocation, management of suppliers, procurement management, interfacing with integrators, and working with international teams. Your expertise in project management methodologies and technical understanding will be pivotal in driving project efficiency and excellence. Flexibility in working hours is also required for this position.

Requirements


  • At least 5 years of experience in a project management role within the mining, heavy machinery, or similar industrial sectors.
  • Demonstrated experience in leading technical projects from conception to implementation, particularly in on-site environments.
  • Ability to coordinate cross-functional teams and manage project timelines effectively.
  • Strong communication skills to act as the primary point of contact between the client and the technical team.
  • Ability to negotiate, persuade, and ensure project alignment with client expectations.
  • Hands-on experience with on-site project execution, including the deployment of technology solutions in remote or challenging environments.
  • Capability to identify, analyze, and solve complex technical problems related to machinery operation, sensor integration, and data interpretation.
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or a related technical field. Specialization in mechanical engineering is a plus.

Advantages:

  • Technical Expertise in Data Analysis: Proficiency in data-related fields for mining and processing assets.
  • Expertise in condition monitoring, vibration analysis, thermography, and lubricant analysis within heavy industrial environments.
  • Proficiency in project management software and data analysis tools. Familiarity with AI and machine learning applications is an asset.
  • Professional Certification: PMP (Project Management Professional) or equivalent certification demonstrating project management expertise.


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