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 of 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 Thinking
- Ability to translate data → insights → workflows → actions
- Experience designing end-to-end systems
- Strong analytical mindset to identify automation opportunities from real-world signals
AI & Tools
- Exposure to LLMs, RAG, AI agents
- Familiarity with prompt design and AI workflows
- Tools: Postman, GitHub, Jira, Cursor, Claude Code
How do we work?
Whatever your role, our values describe what we ask of each other.
Be a bridger
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.
Care loudly
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.
Own the outcome
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.
That’s DevRev!
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.