Website:
machineastro.com
Job details:
Role Description
MachineAstro provides AI- and IoT-enabled machine health and predictive maintenance solutions that help industrial customers detect machine abnormalities early, reduce unplanned downtime and improve asset reliability.
The Sr. Vibration Analyst / Customer Success Lead combines strong vibration-analysis expertise with presales, Proof of Concept (POC), customer engagement and account expansion responsibilities. The role works across the complete customer journey, from Site assessment, POC, demo and diagnosis through customer value, billing follow-up, expansion and reference. The incumbent will act as the technical bridge between customers and the Sales, Customer Success, Reliability and Product/AI teams.
Job Profile
- Vibration Analysis and Diagnostics: Analyse vibration, temperature and machine-health data to identify developing faults. Diagnose issues such as bearing defects, unbalance, misalignment, looseness, gear faults, resonance and other abnormal conditions. Review machine trends and provide actionable maintenance recommendations.
- Diagnostic Reporting and Asset Selection: Prepare concise diagnostic reports and communicate findings to customer maintenance and reliability teams. Support machine surveys and the selection of critical assets for monitoring.
- Presales Support: Support the Sales team during technical discussions with prospective customers. Understand customer pain points, machine criticality and maintenance challenges. Conduct technical product demonstrations of MachineAstro's machine-health and predictive-maintenance solutions, prepare technical inputs for proposals, RFQs/RFIs and solution discussions, and support customer presentations, technical meetings and plant visits.
- Proof of Concept Execution: Define and execute POCs at customer sites. Select suitable machines/assets for POC and establish measurable success criteria. Analyse POC results, demonstrate business and technical value to customers, and convert technical findings into a clear value proposition.
- Customer Success and Account Expansion: Ensure customers receive actionable value from deployed MachineAstro solutions and conduct periodic reviews of machine-health findings and recommendations. Identify opportunities for additional machines, production lines, plants or use cases, and work with Sales on expansion opportunities and technical qualification. Identify potential customer references and successful use cases, and support creation of case studies and reference accounts.
- Commercial Coordination: Coordinate with customers and internal teams for billing and payment follow-ups related to deployed projects. Track project deliverables, acceptance milestones and commercial dependencies, and highlight delays, customer concerns or pending actions that may impact billing or revenue realisation. Support Sales/Finance teams with technical clarification required for invoicing or payment closure.
- Customer and Internal Collaboration: Act as the technical point of contact between MachineAstro and customer teams, maintaining strong relationships with maintenance, reliability and plant teams. Work closely with Sales, Customer Success, Product, Engineering and AI/ML teams, and provide customer feedback to improve diagnostics, product features and automation. Escalate critical machine abnormalities and customer issues appropriately.
- Records and Documentation: Maintain accurate records of POCs, customer interactions, recommendations and opportunities.
Job Requirements
- BE / B.Tech: Mechanical Engineering.
- 8-10 years of experience in vibration analysis, condition monitoring or predictive maintenance.
- ISO CAT-II or III Vibration Analyst certification is mandatory.
- Strong practical knowledge of vibration analysis and rotating equipment.
- Experience with FFT spectrum, waveform and trend analysis.
- Understanding of predictive maintenance and condition monitoring.
- Ability to conduct technical demos and customer presentations, and to execute and manage technical POCs.
- Strong customer communication and stakeholder-management skills.
- Commercial awareness with an ability to identify expansion opportunities.
- Good report-writing and presentation skills; working knowledge of MS Excel, Word and PowerPoint.
- Interest in IIoT, AI/ML and digital predictive-maintenance technologies.
- Experience with industrial equipment in Cement, Steel, Automotive, Chemical, Pharmaceutical, Power, Metals & Mining, FMCG or Manufacturing will be advantageous.
- Willingness to travel to customer plants and industrial sites.
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