About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer 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. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
Role Overview
We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.
As a Solutions Engineer, you will act as a trusted advisor, combining 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-world automation, intelligence, and agentic workflows.
Key Responsibilities
- Partner with customers to deeply understand 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
- Build and showcase AI-driven workflows, automations, and agentic use cases
- Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
- Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
- Deliver tailored 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 pipelines
- Contribute to technical proposals, RFP/RFI responses, and solution architectures
- Stay current on 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
- 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 → processing → business outcomes
Engineering Depth
- Strong system-level thinking
- Experience with:
- Data pipelines, APIs, integrations, distributed systems
- Experience in Python / TypeScript / JavaScript (or similar)
- Understanding o
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