Customer Success Operations Analyst

obsidiansecurity; United States; Remote; USD 120,000 - 130,000; Full time

Benefits offered by this job

equity

a 401(k)

health

dental and vision coverage

flexible paid time off

paid holidays

12 weeks of new-parent or family leave

professional development resources

Job summary

obsidiansecurity is seeking a data reporting and automation expert to build the CS data layer and AI-assisted workflows. You will translate account-health, renewal, adoption, and exec reporting needs into data requirements and repeatable tools.

Responsibilities include gathering stakeholder needs, building a data mart with deterministic data flows, automating renewals and adoption tracking, and collaborating with security on governance for customer data.

Qualifications

• Hands-on experience with Databricks or a comparable modern data platform, including querying, data modeling on governed marts, and metric or semantic views.
• Familiarity with Python or another scripting language for transformation and automation.
• Ability to turn unclear business reporting requests into specific data requirements.
• Understanding of data access governance and security practices, particularly for customer-tenant data.
• Comfort working through ambiguity and partnering with teams that own the broader data warehouse.
• An AI-first approach to evaluating where agentic or LLM-based workflows can replace manual reporting and repetitive work.

Responsibilities

• Gather stakeholder needs for account health, business reviews, and executive dashboards, then define the required fields and metrics.
• Build reporting and automation on top of a Customer Success data mart, including deterministic data flows and AI or LLM-enabled workflows where useful.
• Automate recurring workflows such as renewal and adoption tracking, ticket triage, and diagnostics across support and business platforms.
• Partner with Business Systems and Security on a secure, auditable access model for Customer Success workflows.
• Maintain data quality and documentation, flagging missing, inconsistent, or governance-sensitive information.
• Coordinate with Customer Success, support, product, engineering, and business systems teams to shape how data reaches everyday tools.

Skills

Python

Data modeling

Data governance

AI/LLM workflow design

Analytical thinking

Tools

Databricks

Job description

Role overview

Build the reporting and automation layer for a Customer Success organization. You’ll turn account-health, renewal, adoption, and executive reporting needs into data requirements and repeatable tools, including AI-assisted workflows, while working with teams that own customer data and business systems.

Responsibilities

• Gather stakeholder needs for account health, business reviews, and executive dashboards, then define the required fields and metrics.
• Build reporting and automation on top of a Customer Success data mart, including deterministic data flows and AI or LLM-enabled workflows where useful.
• Automate recurring workflows such as renewal and adoption tracking, ticket triage, and diagnostics across support and business platforms.
• Partner with Business Systems and Security on a secure, auditable access model for Customer Success workflows.
• Maintain data quality and documentation, flagging missing, inconsistent, or governance-sensitive information.
• Coordinate with Customer Success, support, product, engineering, and business systems teams to shape how data reaches everyday tools.

Requirements

• Hands-on experience with Databricks or a comparable modern data platform, including querying, data modeling on governed marts, and metric or semantic views.
• Familiarity with Python or another scripting language for transformation and automation.
• Ability to turn unclear business reporting requests into specific data requirements.
• Understanding of data access governance and security practices, particularly for customer-tenant data.
• Comfort working through ambiguity and partnering with teams that own the broader data warehouse.
• An AI-first approach to evaluating where agentic or LLM-based workflows can replace manual reporting and repetitive work.

Nice to have

• Experience with Salesforce data or customer success platforms such as Totango, Zendesk, or Gainsight.
• Experience automating support workflows and cross-platform integrations.
• Background in cybersecurity, SaaS security, or technical B2B SaaS.

Benefits and work setup

• equity
• a 401(k)
• health
• dental and vision coverage
• flexible paid time off
• paid holidays
• 12 weeks of new-parent or family leave
• professional development resources

Base salary is listed at $120,000-130,000; equity is included, and incentive compensation may apply depending on role or function.