PreSales Engineer

Description

DataMind AI by Razor Labs fuses vibration, oil, pressure, temperature and vision data to predict failures early, cut unplanned downtime and extend asset life across fixed plant assets and mobile fleets. As a PreSales Engineer, you are the technical bridge between business development and prospective customers clarifying needs, crafting solutions and showcasing how AI can transform mining operations.

Key Responsibilities:

• Own the technical win from first discovery workshop through implementation handoff.
• Shape the solution: define use cases, success metrics and data readiness with reliability, OT and operations teams.
• Prove value: design and deliver tailored demos, proofofvalue projects and RFPRFI responses that highlight clear ROI.
• Translate insights into executivelevel value briefs and partner with Account Executives on proposals and negotiations.
• Ensure a smooth handoff: package all technical artifacts and stay the subjectmatter expert until initial KPIs are achieved.
• Close the feedback loop: capture South Africanmarket needs (fixed assets, mobile equipment, ESG) and relay them to Product & Engineering.

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  Requirements

  
  

  • At least 5 years in a technical role supporting enterprise softwarehardware in industrial settings (preferably mining or heavy industry).
  • Experience with predictive maintenance, reliability engineering, or condition monitoring systems – a plus.
  • Preferred: handson analysis of vibration, lubrication, thermography or similar data on fixed and mobile mining equipment plus sensor selection, installation and certification experience.
  • B.Eng. in Mechanical, Electrical, Instrumentation or Mining (or equivalent experience).
  • Familiarity with suites such as AVEVA Predictive Analytics, Aspen Mtell, OSIsoft PI, GE APM.
  • Category II or higher ISO 184362 vibrationanalysis certification (or equivalent) – advantage.
  • Proven ownership of RFPRFI responses and live demo environments that converted technical validation into signed deals.
  • Strong written and verbal communication skills, from shop floor to Csuite.
  • Minesite safety compliant; ready for frequent shortnotice travel.

  • Advantages:

    • Experience deploying disruptive technologies, PdM solutions or digital twins in heavyindustry environments.
    • Knowledge of reliabilitycentred maintenance and conditionbased maintenance programmes.
    • Exposure to mobilefleet health systems (Caterpillar MineStar, Modular Mining MineCare).
    • Basic adhoc analytics skills (Excel Power BI Python).

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