Customer Operations Engineer

Customer Operations Engineer

Build scalable customer success operations for next-generation revenue technology

About Revic

Revic is an innovative, seed-stage company transforming how revenue teams operate through advanced AI-driven agents. We're building the future of sales, empowering teams to focus on fewer, better opportunities, accelerating growth through AI-powered insights and precision.

Role Overview

We're seeking a technically-minded Customer Operations Engineer to build the operational foundation of our customer success function. This role is perfect for an analytical, detail-oriented professional who wants to combine technical skills with customer impact. You'll work directly with our leadership team to create scalable processes, generate customer insights, and ensure seamless customer experiences as we grow from early access to mainstream adoption.

Key Responsibilities

• Customer Data & Analytics: Build and maintain customer health dashboards, usage analytics, and success metrics tracking using SQL, spreadsheets, and business intelligence tools

• Technical Implementation Support: Assist customers with Revic setup, CRM integrations, and troubleshooting technical issues during onboarding and ongoing usage

• Process Automation: Design and implement workflows that streamline customer operations, from onboarding sequences to renewal processes

• Meeting Coordination & Scheduling: Manage customer meeting logistics, onboarding sessions, check-ins, and escalations while maintaining detailed customer interaction records

• Customer Artifact Creation: Produce ROI reports, usage summaries, implementation guides, health score reports, and technical documentation for customers

• Operational Efficiency: Build repeatable playbooks and standard operating procedures that scale with our growing customer base

• Cross-Functional Support: Partner with Product and Engineering teams to communicate customer feedback and technical requirements

• Data-Driven Insights: Analyze customer behavior patterns to identify expansion opportunities, churn risks, and product improvement areas

Required Qualifications

• 2-4 years of experience in operations, analytics, or customer-facing technical roles

• Technical Skills: Proficiency with SQL, Excel/Google Sheets, and data visualization tools (Tableau, Looker, or similar)

• CRM Experience: Hands-on experience with Salesforce, HubSpot, or similar platforms, including data management and reporting

• Process Orientation: Strong organizational skills with experience building workflows and standard operating procedures

• Customer Focus: Experience in customer-facing roles with ability to communicate technical concepts clearly

• AI/SaaS Interest: Basic understanding of AI/ML concepts and enthusiasm for learning about sales technology

• Analytical Mindset: Comfort working with data to identify trends and drive decision-making

• Communication Skills: Strong written and verbal communication with ability to create clear documentation

• Startup Experience: Comfort with ambiguity and rapid change in fast-growing environments

• Detail-Oriented: Meticulous attention to detail with ability to manage multiple customer accounts simultaneously

Preferred Qualifications

• Bachelor's degree in Business, Engineering, Data Science, or related analytical field

• Experience with customer success platforms (Gainsight, ChurnZero, Intercom)

• Coding Skills: Basic proficiency in Python, R, or similar for data analysis

• Sales Operations background or experience with revenue operations tools

• Previous experience at B2B SaaS companies, especially in sales or marketing technology

• Project Management experience with tools like Asana, Notion, or Monday.com

• Experience with API integrations or technical product implementations

Why Revic

• Technical Growth: Work with the latest AI tools and revenue technology stack

• Direct Impact: Your work directly influences customer outcomes and company growth

• Learning Environment: Mentorship from experienced customer success and revenue leaders

• Ground-Floor Opportunity: Build processes and systems that will scale with the company

• Competitive compensation: $80,000 - $100,000 base salary (based on experience)

• Equity package: Meaningful ownership in a fast-growing company

• Standard benefits: Health, dental, vision, 401k

• Hybrid flexibility: 3 days in-office (San Francisco), 2 days remote

• Collaborative culture: Work in a supportive, data-driven environment

Join us in building the operational excellence that powers customer success in the AI-driven future of revenue. If you're analytically minded, technically curious, and excited about creating scalable processes that drive customer outcomes, we'd love to hear from you.