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Customer Success Operations Analyst Jobs (NOW HIRING)

Couchbase, Inc.

Customer Success Operations

Raleigh, NC · On-site

We are seeking a hands-on Sr. Manager of Customer Success Operations to partner directly with our ... Partner with the Commercial Data & Analytics team to ingest product-usage and consumption data from ...

Accela

Customer Success Operations Lead

We are seeking a Customer Success Operations Lead to serve as the operational backbone of the ... Measure and optimize program effectiveness through reporting, analytics, and customer outcome ...

Abnormal AI, Inc.

Customer Success Operations Manager

$107K - $154K/yr

About the Role Abnormal AI is looking for a Customer Success Operations Manager to join our ... Track key performance indicators (KPIs), analyze data to identify trends, and share insights on ...

GitLab

Manager, Customer Success Operations

An overview of this role As a Manager, Customer Success Operations at GitLab, you will own the ... Partner with Revenue Technology and Revenue Analytics to evolve the systems, data, and reporting ...

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Customer Success Operations Analyst information

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$33

$56

How much do customer success operations analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for customer success operations analyst in the United States is $33.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $40.38 per hour, depending on experience, location, and employer.

What qualifications are needed for a CSM role?

A Customer Success Manager (CSM) role typically requires a bachelor's degree in business, marketing, or a related field, along with strong communication and interpersonal skills. Experience in customer service, account management, or sales is often preferred, and familiarity with customer success tools like CRM software can be beneficial.

How does a Customer Success Operations Analyst typically collaborate with Customer Success Managers and other departments?

A Customer Success Operations Analyst works closely with Customer Success Managers (CSMs) to streamline processes, analyze customer data, and provide actionable insights that help improve customer satisfaction and retention. Analysts often serve as a bridge between CSMs and departments like Sales, Product, and Marketing by sharing data-driven recommendations and helping to implement scalable solutions. Collaboration usually involves regular meetings, reporting on key metrics, and supporting the adoption of new tools or workflows. This cross-functional teamwork ensures that customer success strategies are aligned with broader business goals and that teams are equipped with the information needed to deliver outstanding customer experiences.

What are Customer Success Operations Analysts?

Customer Success Operations Analysts are professionals who support customer success teams by optimizing processes, analyzing data, and implementing tools to improve customer experience and retention. They work behind the scenes to ensure that the customer success team operates efficiently, using insights from data to identify trends and areas for improvement. Their responsibilities may include creating reports, managing customer success software, and developing strategies to enhance customer satisfaction and loyalty. By bridging the gap between data analysis and customer-facing teams, they help drive overall company growth.

How much do operations analysts get paid?

Customer Success Operations Analysts typically earn between $60,000 and $90,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries, often supplemented with bonuses or benefits.

What is the difference between Customer Success Operations Analyst vs Customer Support Specialist?

AspectCustomer Success Operations AnalystCustomer Support Specialist
Primary FocusOptimizing customer success processes, data analysis, and operational efficiencyHandling customer inquiries, troubleshooting, and providing support
Required SkillsData analysis, CRM tools, process improvementCommunication, problem-solving, product knowledge
Work EnvironmentCross-functional teams, data-driven tasks, strategic planningCustomer-facing, support centers, direct interaction with clients
Common CertificationsCRM certifications, data analysis coursesCustomer service certifications, product training

The Customer Success Operations Analyst focuses on improving customer success strategies through data analysis and operational improvements, while the Customer Support Specialist primarily handles direct customer interactions and troubleshooting. Both roles are essential in customer-centric companies but differ in scope and responsibilities.

What is a customer success operations analyst job description?

A customer success operations analyst is responsible for optimizing processes, tools, and data to support customer success teams. They analyze customer data, develop reporting dashboards, and implement strategies to improve customer retention and satisfaction, often using CRM and analytics software. Strong analytical skills and knowledge of customer success metrics are essential for this role.

What are the key skills and qualifications needed to thrive as a Customer Success Operations Analyst, and why are they important?

To thrive as a Customer Success Operations Analyst, you need strong analytical skills, experience with data management, and a background in business or related fields. Familiarity with customer relationship management (CRM) systems, data visualization tools like Tableau, and proficiency in Excel or SQL are typically required. Excellent communication, problem-solving, and collaboration skills help you work effectively with cross-functional teams and translate data insights into actionable strategies. These abilities are crucial for optimizing customer success processes, driving retention, and supporting data-driven decision-making.

Is being a CSM stressful?

Customer Success Operations Analysts often work in fast-paced environments that require managing multiple client accounts and data analysis, which can be stressful during high workload periods. However, stress levels vary based on company culture, workload, and individual skills in communication and organization. Proper time management and use of tools like CRM systems can help mitigate stress in this role.
More about Customer Success Operations Analyst jobs
What cities are hiring for Customer Success Operations Analyst jobs? Cities with the most Customer Success Operations Analyst job openings:
What states have the most Customer Success Operations Analyst jobs? States with the most job openings for Customer Success Operations Analyst jobs include:
What job categories do people searching Customer Success Operations Analyst jobs look for? The top searched job categories for Customer Success Operations Analyst jobs are:
Customer Success Operations Analyst jobs near you
Infographic showing various Customer Success Operations Analyst job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $70,210 per year, or $33.8 per hour.

Customer Success Operations

Couchbase, Inc.

Raleigh, NC • On-site

Other

Posted 21 days ago

Job description

We are seeking a hands-on Sr. Manager of Customer Success Operations to partner directly with our SVP of Customer Success to operationalize and launch our newly designed CS function. In this role, you will be responsible for taking established customer journey blueprints, milestones, and data sources and translating them into repeatable processes, actionable dashboards, and clean Salesforce workflows. This is a manager-level role for an execution-focused operator who wants to build the data and process foundations for a modern, revenue-generating customer success organization from scratch.

Core Responsibilities1. Data, Health, & Consumption Signals
  • Health Score Formulation: Build and maintain the company's data-driven "Customer Health Score" combining support logs, customer milestones, and usage trends into clear risk indicators.
  • Retention Reporting and Forecasting: Design and build the baseline, centralized global dashboards within Salesforce and Tableau to measure and track Gross Revenue Retention (GRR), Net Revenue Retention (NRR), and expansion pipelines.  Build the predictive forecasting models and manage the weekly/monthly renewal pipeline reviews
  • Consumption-Driven Growth Alerts: Partner with the Commercial Data & Analytics team to ingest product-usage and consumption data from Databricks, transforming raw telemetry into proactive system alerts that flag expansion, cross-sell, and upsell opportunities.
  • Voice of the Customer (VoC) Data: Own the deployment and data integration of tracking qualitative customer health metrics like Net Promoter Score (NPS), Customer Satisfaction (CSAT), or Customer Effort Scores (CES) partnering with CS leadership team.
2. Process Design & Salesforce Workflow
  • Milestone Operationalization: Translate established customer lifecycle milestones into hard system logic within Salesforce, ensuring automated tracking, account assignment, and pipeline management from sales handoff through renewal.
  • Co-Authoring Playbooks: Collaborate with the SVP of Customer Success to write and codify standard operating procedures (e.g., onboarding handoffs, escalation protocols for at-risk accounts) and configure the Salesforce tasks that enforce them.
  • Technology Stack Evolution: Maintain and optimize current post-sale Salesforce workflows, while scoping and preparing the infrastructure for future dedicated CS tooling modules as the function scales.
3. Performance, Incentives, & Enablement
  • CS Compensation Tracking: Partner with the core Sales Compensation/Ops team to design, track, and manage the performance incentive and commission structures specific to the newly formed CS organization.
  • Enablement Partnership: Collaborate with the centralized Enablement team to co-own CS onboarding by providing the necessary technical documentation, system user guides, and data definitions to drive process adoption.
4. Change Management & Process Adoption
  • AI-Driven Alert Adoption & Behavior Management: Own the rollout and ongoing team adoption of AI-generated customer health alerts. Partner with CS enablement to coach team members on how to interpret and act on predictive behavioral triggers (e.g., AI-flagged drops in feature utilization or negative sentiment trends) to ensure proactive, rather than reactive, account management.
  • SFDC Data Quality & Compliance Coaching: Design and deploy automated data compliance reporting within Salesforce (SFDC) to track data cleanliness. Use these compliance dashboards as a coaching tool for CS leadership and team members, highlighting missing inputs, out-of-date fields, and areas of improvement to elevate overall CRM data fidelity.
  • Journey Milestone & Output Tracking: Establish change frameworks that ensure CSMs consistently track critical Customer Success journey milestones (e.g., implementation sign-off, executive business reviews) and log concrete outputs directly in SFDC. Translate abstract customer progress into hard, measurable system data.
  • Feedback Loops on System Friction: Conduct regular "ride-alongs" and feedback sessions with front-line CSMs to evaluate how effectively they are adopting new workflows. Use these insights to refine SFDC validation rules, optimize AI alert thresholds, and eliminate system friction that hinders team adoption.
Candidate Requirements
  • Experience: 4-6 years of experience in Customer Success Operations or Revenue Operations, with a proven track record of managing data and processes for high-growth enterprise SaaS organizations.
  • Technical Skill Baseline: Strong hands-on experience configuring workflows, custom objects, and reports within Salesforce. Familiarity with data logic and experience collaborating with analytics teams to map data from platforms like Databricks.
  • The Operationalizer: An execution-oriented professional who excels at taking strategic customer frameworks and turning them into practical, working data models and clean workflows.
  • Execution Style: A highly practical individual contributor who takes pride in data accuracy, clear process documentation, and building day-to-day tools that make it easy for front-line reps to do their jobs.

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