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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
About The Position
As a Senior Technical Project Manager at Razor Labs, you will take a leadership role in overseeing complex technological projects within the mining sector, primarily at client sites across Africa, with a focus on South Africa. This role requires close collaboration with clients and internal teams to ensure project success from conception to delivery, with full accountability for execution. You will manage multiple projects concurrently, leading the deployment of sensor-based technology solutions, vendor management, and integration efforts. A strategic problem solver, you will be expected to make key decisions, drive results in challenging environments, and report effectively to both clients and internal stakeholders. This position demands a high level of independence, technical expertise, and the ability to execute on-site projects efficiently.
Lead stakeholder engagement to ensure clear and comprehensive project requirements and expectations. Develop and oversee detailed project plans, schedules, and resource allocation, ensuring milestones are met on time and within budget. Manage technical project execution on-site, overseeing the deployment of sensor technologies and integrations with heavy machinery. Lead the coordination of cross-functional teams, third-party vendors, and integrators to ensure successful implementation of projects. Act as the primary point of contact for clients, providing timely updates and addressing any project concerns with a solution-oriented approach. Monitor site progress, manage risks, and provide hands-on leadership to address challenges, ensuring all project deliverables are met. Oversee and ensure adherence to safety protocols and operational standards. Prepare and present regular project status reports and updates, including risk management strategies, timelines, and milestones. Lead continuous improvement initiatives, optimizing processes and ensuring the highest level of service and technical quality. Demonstrate the ability to work in remote or challenging environments, leading efforts to deploy technology solutions with a flexible and adaptable mindset.
Requirements
- At least 8 years of experience in a project management role within the mining, heavy machinery, or similar industrial sectors.
- Proven track record in leading technical projects from inception through successful delivery in on-site environments.
- Strong expertise in sensor deployment, instrumentation, and integration, particularly in industrial applications
- Hands-on experience with technology installation, system integrations, and managing vendor relationships.
- Exceptional communication and interpersonal skills, with the ability to navigate complex client relationships and technical discussions.
- High-level problem-solving skills and the ability to address technical challenges quickly and effectively.
- Experience with condition monitoring systems and predictive maintenance projects is highly desirable.
- Familiarity with predictive maintenance tools, sensor deployment, and data interpretation is a strong plus.
- Experience with project management methodologies, including PMP, Agile, or equivalent.
- Ability to adapt and lead in international and remote environments.
- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or related technical field (Mechanical Engineering a plus).
Advantages:
- Previous experience with condition monitoring and predictive maintenance projects in industrial sectors, particularly in mining, will be a strong advantage.
- Experience in software implementation projects and sensor-based solutions in mining or industrial sectors.
- Familiarity with data analysis tools, SAP, and condition monitoring technologies.
- Expertise in AI and machine learning applications in the industrial sector is a "nice to have."
- PMP (Project Management Professional) or equivalent certification is highly preferred.
