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Solution Engineer : Mumbai

DevRev · Mumbai

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Collected role description

Role overview

Solution Engineer : Mumbai at DevRev

<p>You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling <strong>real-world automation, intelligence, and agentic workflows</strong>.</p>

Employment details

  • Location: Mumbai [India]

About the employer

  • <div class="content-intro"><p><span style="font-size: 14pt;"><strong>About DevRev</strong></span></p>
  • Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.</p></div><p><strong>Role Overview</strong></p>
  • <p>As a Solutions Engineer, you will act as a <strong>trusted advisor</strong>, combining <strong>domain expertise, engineering depth, and problem-solving</strong> to help customers unlock value from their data through DevRev’s AI platform.</p>
  • <li>Act as a <strong>technical advisor</strong>, guiding customers on how DevRev can integrate into and enhance their existing systems</li>

Additional role details

  • <p>At DevRev, we're building the future of work with <em>Computer</em> – your AI teammate.
  • Unlike traditional tools, <em>Computer</em> unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions.
  • It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work.
  • We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems.
  • <p>We are looking for <strong>domain-first, systems-oriented engineers</strong> who understand how real-world systems (in renewable energy<strong>, </strong>automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.</p>
  • <p> </p>
  • <p><strong>Key Responsibilities</strong></p>
  • <ul>
  • <li>Partner with customers to deeply understand <strong>domain workflows, systems, and data flows</strong> (e.g., connected vehicles, factory systems, IoT environments)</li>
  • <li>Translate real-world signals (sensor data, logs, events) into <strong>insights, workflows, and automated actions</strong></li>
  • <li>Build and showcase <strong>AI-driven workflows, automations, and agentic use cases</strong></li>
  • <li>Design and articulate <strong>end-to-end solutions</strong> (data ingestion → processing → decision → action)</li>
  • <li>Deliver tailored <strong>demos, PoCs, and solution walkthroughs</strong> grounded in real-world use cases (not generic SaaS demos)</li>
  • <li>Support integrations with external systems via <strong>APIs, webhooks, and data pipelines</strong></li>
  • <li>Contribute to <strong>technical proposals, RFP/RFI responses</strong>, and solution architectures</li>
  • <li>Stay current on <strong>industry trends (renewable energy, automotive, manufacturing, IoT, AI)</strong> and bring insights into customer conversations</li>
  • </ul>
  • <p><strong>Qualifications & Skills</strong></p>
  • <p><strong>Domain Expertise</strong></p>
  • <li>Experience in <strong>renewable energy, automotive, manufacturing, industrial systems, or IoT environments</strong></li>
  • <li>Strong understanding of:</li>
  • <li>Connected systems (vehicles, machines, robotics, embedded systems)</li>
  • <li>Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)</li>
  • <li>Real-world data (signals, logs, time-series)</li>
  • <li>Familiarity with manufacturing workflows (inspection, defect detection, production cycles).</li>
  • <li>Ability to explain <strong>data flow from system → processing → business outcomes</strong></li>
  • <p><strong>Engineering Depth</strong></p>
  • <li>Strong <strong>system-level thinking</strong></li>
  • <li>Experience with:</li>
  • <li>Data pipelines, APIs, integrations, distributed systems</li>
  • <li>Experience in <strong>Python / TypeScript / JavaScript (or similar)</strong></li>
  • <li>Understanding of <strong>system design, reliability, and failure handling</strong></li>
  • <li>Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)</li>
  • <p><strong>Problem Solving & Use Case Thinking</strong></p>
  • <li>Ability to translate <strong>data → insights → workflows → actions</strong></li>
  • <li>Experience designing <strong>end-to-end systems</strong></li>
  • <li>Strong analytical mindset to identify automation opportunities from real-world signals</li>
  • <p><strong>AI & Tools</strong></p>
  • <li>Exposure to <strong>LLMs, RAG, AI agents</strong></li>
  • <li>Familiarity with prompt design and AI workflows</li>
  • <li>Tools: <strong>Postman, GitHub, Jira, Cursor, Claude Code</strong></li>
  • <p> </p><div class="content-conclusion"><p><span style="font-size: 14pt;"><strong>How do we work? </strong></span><br>Whatever your role, our values describe what we ask of each other.<br><br><strong>Be a bridger</strong><br>Look beyond your own role.
  • Ask questions, share context and help others get unstuck.
  • That may mean bringing the right people together or picking up a problem that doesn’t necessarily fit neatly into your job description.<br><br><strong>Care loudly</strong><br>We want your perspective, not just your agreement.
  • Speak up when something isn’t working or someone needs support.
  • Give honest feedback with respect for the person receiving it.
  • Don’t let an uncomfortable conversation become an unspoken problem.<br><br><strong>Own the outcome</strong><br>Take responsibility for the result, not just your part in the process.
  • Use AI to move the work forward, not to outsource your judgment.
  • Make the call, check whether it worked and change course when it didn’t.
  • If something goes wrong, own it and help fix it.<br><br>That’s DevRev!<br><em><br>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.</em></p></div>