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DevRev

Solution Engineer : Delhi

India Remote; India RemoteRemote · India
Sales Engineering
POSTED 23 MARVERIFIED 8M AGO
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Role
234 days opentrue age
Posted 23 Mar
Pay
$26k–$93kno pay posted
$26k$165k
Market p25–p75
$26k–$93k
H-1B median · Software engineering
$165k
India · n=17 · 365d to 10 Nov
CompanyDevRev →
37open roles
Opened · 30d
+4
Closed · 30d
−5
11d of snapshots · 30d window
Market
37,710open · Software engineering
Opened · 7d
+3,2739% of open
All software engineering
75,429open
All tracked boards · live 12 Nov · n=37,710
Visa
7H-1B LCAs · FY26
Median wage
$150k
LCAs FY26 · n=7 · to 2026-06-25
TypeScriptJavaScriptPythonDistributed systems

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 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 advisortrusted 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 workflowsworld 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 handlingsystem 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
Source · DevRevFirst seen 2 NovOriginal ↗