About the Company
UptimeAI is a venture-backed startup that provides AI reasoning agents to help industrial operations teams make goal-oriented, real-time decisions. The company focuses on heavy industries such as refining, chemicals, and renewables, and works with large enterprises like Tata Power and BPCL. By embedding engineering reasoning into AI agents, UptimeAI enables continuous analysis of operational data, diagnosis of issues, and guidance for teams toward optimal actions, resulting in faster decisions, reduced downtime, improved efficiency, and stronger operational performance.
Role Overview
We are seeking a dynamic, customer-oriented Solutions Engineer to join our Sales & BDM team in Bangalore. As a bridge between sales and engineering, you will work closely with prospects to build both technical and business cases around improving operational excellence in heavy asset industries, particularly process industries such as refining and chemicals. This role involves aligning customer pain points with UptimeAI's offerings and convincing client management on technical and ROI aspects. The ideal candidate is a highly motivated, outgoing self-starter who enjoys problem-solving, cutting-edge technology, and sales, and is not afraid to explore new industries and pain points.
The successful candidate will play a critical role in driving customer adoption of predictive maintenance and AI solutions, with a focus on process industries including power, oil & gas, and chemicals.
Key Responsibilities
- Oversee and participate in initial discovery meetings with customers, providing platform demos and highly technical proof-of-value engagements for both existing customers and new sales opportunities using UptimeAI's predictive maintenance software.
- Act as a subject matter expert of the assigned product portfolio in predictive analytics, operations and maintenance, chemical engineering, and asset performance management, targeting process industries including power, oil and gas, and chemicals.
- Be the direct conduit translating customer business challenges into technical solutions, positioning UptimeAI to effectively solve those challenges.
- Consistently and cogently address customers' needs through strong verbal, written, and presentation skills.
- Provide analysis and solution design activities, such as requirements gathering and gap analysis of user requirements.
- Support the project team in solution design, architecture review, and functional and technical requirements discovery, definition, and documentation.
- Implement complete solutions by blending deep understanding of process domains (P&ID, PFD, equipment, process knowledge) with technical knowledge of UptimeAI's software features and capabilities for customers in power, oil and gas, chemical, and other process industries.
- Build, manage, and maintain strong relationships with customers, peers, and partners.
- Travel expected to be 40-60% to engage with customers and prospects in person.
- Participate in marketing campaigns and events.
Tech Stack
- Predictive Analytics Tools & Platforms (e.g., Asset Performance Management, simulation)
- Industrial Data Sources & Systems: SCADA, OPC, historians, DCS
- CMMS Systems (e.g., IBM Maximo, SAP PM) and Reliability Centered Maintenance (RCM) methods
- AI/ML Applications for predictive maintenance and digital twin
- Process Domain Tools: P&ID, PFD, equipment diagrams, process flow sheets
- Software Stack: Python (implied for AI/ML), REST APIs, cloud platforms (implied for SaaS delivery)
- Data Analytics: Time-series databases, anomaly detection frameworks