Customer Success Operations Analyst

Obsidian Security

. Own the reporting and automation layer for Customer Success .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building reporting and automation workflows for Customer Success, leveraging AI-driven solutions and data governance best practices. Proficient in data modeling, transformation, and integration across platforms to enhance operational efficiency.

Highest-signal resume keywords

AI-Driven Automation WorkflowsData Modeling on Governed MartsExperience with DatabricksPython for Data TransformationSalesforce Data Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData TransformationAutomation DesignQueryingMetric/Semantic ViewsCross-Platform IntegrationsData Quality MaintenanceReportingAutomation WorkflowsData Access Governance

Soft Skills

Strong Communication SkillsProblem-SolvingCollaborationComfortable with Ambiguity

Tools & Technologies

DatabricksSalesforceZendeskSlackCustomer Success PlatformsData Warehouse

Industry Keywords

Customer SuccessSaaS SecurityCybersecurityTechnical B2B SaaSData Access Governance

Tech Stack

Tools & technologies

Cyber SecurityPython

About the role

Key responsibilities & impact

Own the reporting and automation layer for Customer Success
Translate stakeholder needs for account health, QBR/EBR decks, and executive dashboards into field-level requirements
Build reporting and automation on top of the Customer Success data mart
Shape deterministic and AI/LLM-driven automation workflows
Automate renewal/adoption tracking, ticket triage, diagnostics, and cross-platform workflows
Connect Zendesk with Salesforce, Slack, and the data warehouse to reduce manual handoffs
Help define a secure, auditable data access model with Business Systems and Security
Maintain data quality and documentation for Customer Success data sources
Partner with Business Systems, Product/Engineering, and Customer Success teams

Requirements

What you’ll need

AI-first approach to problem-solving, evaluating agentic or LLM-driven workflows
Hands-on experience with Databricks or a comparable modern data platform
Experience querying, data modeling on governed marts, and metric/semantic views
Familiarity with Python or another scripting language for data transformation and automation
Strong communication skills to translate ambiguous business reporting needs into concrete data requirements
Experience with Salesforce data and/or customer success platforms such as Totango, Zendesk, or Gainsight is a plus
Understanding of data access governance and security best practices, particularly around customer-tenant data
Comfortable operating with ambiguity and partnering with engineering/business systems teams
Experience designing or implementing automation for technical support workflows and cross-platform integrations is a plus
Experience with cybersecurity, SaaS security, or a technical B2B SaaS environment is a plus, but not required
Satisfactory proof of identity and legal authorization required for all persons hired

Benefits

Comp & perks

Competitive compensation with equity and 401k
Comprehensive healthcare with dental and vision coverage
Flexible paid time off and paid holiday time off
12 weeks of new parent or family leave
Personal and professional development resources