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

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.