Role Overview

As a Solutions Engineer, you will act as a trusted advisor trusted advisor, combining domain expertise, engineering depth, and problem-domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform. You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-real-world automation, intelligence, and agentic workflows world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use casesAI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systemsDeliver tailored demos, PoCs, and solution walkthroughs demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelinesAPIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI)industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments renewable energy, automotive, manufacturing, industrial systems, or IoT environments
  Strong understanding of: 
     Connected systems (vehicles, machines, robotics, embedded systems) 
     Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)Real-world data (signals, logs, time-series)
     Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
  
  
• Ability to explain data flow from system data flow from system → processing → business outcomes business outcomes
• Engineering DepthEngineering Depth
• Strong system-level thinking system-level thinking

Experience with:

• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)
• Problem Solving & Use Case ThinkingProblem Solving & Use Case Thinking
• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals
• AI & ToolsAI & Tools
• Exposure to LLMs, RAG, AI agentsLLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude CodePostman, GitHub, Jira, Cursor, Claude Code

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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