---
title: 'Revops Lead at Level AI'
canonical: 'https://feeny.ai/job/revops-lead-level-ai-india-aej0ahzeff69'
type: 'job'
last_seen: '2026-09-07'
---

# Revops Lead at Level AI

- **Company:** Level AI
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/levelai/9ab7ec92-ab28-483f-bf66-52b5ebd60e7b

## Job description

Are you passionate about the future of Artificial Intelligence and Natural Language Processing? Join us at Level AI, where we are on a mission to revolutionize the customer service industry. By leveraging the latest AI and machine learning advancements, we empower customer care agents to resolve issues swiftly and effectively, resulting in happier customers and more satisfied agents. Our goal is to equip call centers with cutting-edge technologies, enhancing the human element in customer care experiences. At Level AI, we are a hyper-growth, Series B startup based in Silicon Valley and backed by Battery Ventures. Our team is composed of industry veterans from Amazon Alexa, Facebook, Google, Figma, and Freshworks. Discover more about us at Level AI and join us in transforming customer service through innovation. Job Summary - The Revenue Operations  Lead will be responsible for managing and optimizing the systems and tools that drive revenue operations.  This role involves ensuring the seamless integration, configuration, and maintenance of our tech stack used across the revenue cycle, including CRM, marketing automation, and customer success. The ideal candidate will have a strong technical background, excellent problem-solving skills, and experience in supporting revenue operations in a high-growth SaaS environment

## Responsibilities -

Operational Alignment: Develop, implement, and monitor operational processes for GTM teams, ensuring visibility into goals and progress. Obstacle Identification: Identify and address obstacles, bridging gaps between Sales, Marketing, and Customer Success. GTM Stack Management: Lead projects within the GTM Stack, focusing on Gong, Salesforce, Hubspot, ZoomInfo, LinkedIn Sales Navigator, and Apollo. Reporting & Analytics: Generate and maintain dashboards and reports to provide insights into revenue operations performance. Collaborate with stakeholders to define key metrics and ensure accurate and timely reporting. Versatile Role: Participate in broader initiatives like Deal Desk, Enablement, Commission planning, and sales forecasting. User Support & Training:  Provide technical support to end-users, addressing system-related issues and inquiries Strategic Partner: Collaborate with Sales, Marketing, Customer Success, and Finance on GTM processes and stack management. Data-Driven Decisions: Manage GTM reporting and drive data-informed business decisions. Tech Stack Unification: Ensure accurate reporting to inform sales targets, quotas, incentives, and commission structures. Platform Management: Configure, manage, and optimize GTM platforms (e.g., Salesforce, Hubspot, Outreach, ZoomInfo, etc.).  Ensure data integrity and system performance through regular monitoring, maintenance, and troubleshooting. Data Accuracy: Maintain data accuracy, hygiene, and enrichment throughout the lead lifecycle. Continuous Improvement: Stay up to date with industry trends and best practices in SaaS Revenue operations.  Identify opportunities for system enhancements and process improvements to drive efficiency and scalability.

Requirements: Sales or Revenue Operations Experience: 6+ years of experience, preferably in SaaS or B2B software revenue operations. Enterprise-wide Enablement Programs: Proven experience in supporting enterprise-wide enablement programs, especially in a remote setting. Technical Proficiency: Advanced skills with spreadsheets, presentations, and Google Workspace. Communication Skills: Excellent communication, presentation, and facilitation skills. GTM Stack Expertise:Deep experience with GTM tools including Salesforce (SFDC), Hubspot, Gong, CPQ, Data Enrichment Tools, etc. Marketing Operations Understanding: Ability to comprehend marketing operations concepts such as workflow management, segmentation, reporting, and the marketing funnel. Data Proficiency: Highly skilled in using data to answer business-critical questions. Cross-functional Collaboration: Experience with coordination, collaboration, and organization with cross-functional teams. Project Management: Exceptional ability to manage multiple projects simultaneously, prioritize tasks, maintain strong attention to detail, and stay highly organized. GTM Effectiveness Assessment: Ability to assess GTM effectiveness and contribute data demonstrating performance improvements.

## About Level AI

## Company Overview
- **One-liner**: Level AI is a customer experience platform that scores every customer interaction, deploys AI voice agents, and turns conversations into actionable insights for enterprise contact centers.
- **Entity Type**: Private (Series C, $74.4M total funding)
- **Headquarters**: Mountain View, California, United States (with an office in New Delhi, India)
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Customer Experience (CX) Platform / AI-Powered Contact Center Software
- **Target customers**: B2B, Enterprise (Fortune 500 healthcare, financial services, and retail environments)
- **Mission or purpose statement**: To help enterprise contact centers automate quality management, assist and coach agents, and understand the voice of the customer at 100% coverage.

## Products & Services
- **Quality Management**: Scores 100% of conversations across channels to standardize quality at scale.
- **AI Virtual Agents**: Deploys AI voice agents for triage to resolution, automating complex workflows.
- **Voice of the Customer**: Extracts insights from every interaction to inform product, operations, and strategy.
- **Assist**: Provides real-time AI or manager help to agents during calls.
- **Analytics 360**: Delivers customer and team intelligence dashboards.
- **Screen Recording**: Monitors agents in real time.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of $15M (LinkedIn estimate); Total Funding of $74.4M
- **Notable Investors/Partners**: Battery Ventures (led Series A & B), Eniac Ventures (led Seed), Adams Street Partners (led Series C). Customers include Wayfair, Smartsheet, Chime, Gusto, and SwissRe.
- **Growth Signals**: 162 employees (+8.8% YoY); processes 4 trillion tokens and analyzes 1 billion+ customer interactions per year; serves enterprises with a combined $500B in market cap; LinkedIn followers grew +40.1% in the last year.

## Competitive Advantages
- **Proprietary AI Architecture**: Uses seven task-specific models for customer experience that are up to 49x more cost-efficient, 4x faster, and with accuracy on par with frontier LLMs.
- **Unified Intelligence Layer**: Every function (QA, coaching, automation, analytics) learns from the same customer conversation data, creating a continuous improvement loop.
- **Enterprise-Grade Compliance**: ISO 27001, HIPAA, SOC2, PCI, and GDPR certified.
- **High Product Satisfaction**: 4.8/5.0 product rating (199 reviews).

## Strategic Focus
- **Deepening Enterprise Penetration**: Targeting high-volume, high-stakes customer operations in regulated industries (healthcare, financial services, retail).
- **AI Model Development**: Continuing to build and refine domain-specific models rather than relying on general-purpose LLM wrappers.
- **Global Expansion**: Growing engineering presence in India (Noida, Bangalore) while maintaining US headquarters.

## Why Work Here
- **Impact & Ownership**: Employees take on big projects single-handedly and make a direct impact. The company "ships fast and owns the outcome."
- **Cutting-Edge AI Work**: Engineers work on state-of-the-art NLP, speech, and machine learning problems at scale (4 trillion tokens processed per year).
- **Growth Culture**: Described as "learning and growing…fast," with a focus on hiring exceptional talent.
- **Remote/Hybrid Policy**: Some roles are listed as remote (e.g., Senior Backend Engineer - AI Agents), while others are on-site (Bay Area, California, or Noida/Bangalore, India).
- **Compensation & Culture**: Employer rating of 3.8/5.0 (98 reviews), with work-life balance at 3.5, compensation at 3.6, and culture at 3.5.
- **Open Roles**: Focus on senior engineering positions (ML, NLP, Backend, SRE) and finance.

## Sources
1. [thelevel.ai](https://thelevel.ai)
2. [thelevel.ai/careers](https://thelevel.ai/careers)
3. [thelevel.ai/about-us](https://thelevel.ai/about-us)
4. [linkedin.com/company/level-ai](https://www.linkedin.com/company/level-ai)
5. [jobs.lever.co/levelai](https://jobs.lever.co/levelai)

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