DevRev

HQ
Palo Alto
Total Offices: 8
127 Total Employees
Year Founded: 2020

DevRev Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers paid volunteer time

Provides paid sick days

Recently posted jobs

2 Days AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Software
Own the vision, roadmap, and product strategy for DevRev’s Computer Data and Analytics Platform. Define data modeling, governance, quality, query, serving, and activation capabilities across operational, analytical, and AI-agent use cases. Lead trusted, low-latency data foundations, embedded analytics, developer experiences, interoperability, grounded retrieval, permissions, guardrails, and safe action execution. Partner with engineering, AI/ML, security, design, and go-to-market teams to deliver scalable platform products for technical and business users.
3 Days AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Software
Own the end-to-end design of DevRev’s messaging experiences across real-time conversations, asynchronous threads, notifications, and presence. Define interaction patterns for human and AI communication, balance information density and complexity, collaborate with engineering on real-time constraints, contribute messaging patterns to the Arcade design system, and mentor junior designers. The role requires strong systems thinking, conversational interface expertise, and ownership of measurable product outcomes.
24 Days AgoSaved
In-Office
Delhi, Vera Cruz, Díli, TLS
Software
Designs and delivers AI-driven business transformation solutions for customers. Responsibilities include architecting and deploying AI agents, integrating CRMs, APIs, databases, and data pipelines, building prototypes and proofs of concept, tuning prompts and agent performance, translating requirements into technical specifications, leading deployment execution, and advising customers on scalable AI architecture. The role is highly customer-facing and requires hands-on coding, cloud, DevOps, system integration, and applied AI expertise.