Lead, Customer Success Operations Analyst

What you'll do

• Automate customer lifecycle workflows and partner with Product and Engineering to instrument customer and telemetry signals.
• Own CS and Renewals dashboards, executive data packs, product metrics, and data integrity across core systems.
• Apply AI/LLM tools to automate reporting and analysis, and lead cross-functional initiatives that improve post-sales operations.

What they ask for

• At least 6 years in Customer Success Operations, Revenue Operations, Sales Ops, or a CS/analytics function in B2B SaaS or enterprise technology.
• Fluency in SQL, Tableau, and Snowflake, with the ability to build dashboards, define metrics, and analyze complex multi-source data.
• Demonstrated experience building automations and hands-on use of AI/LLM tools for reporting, analysis, or operational workflows.
• Deep familiarity with Salesforce and a Customer Success platform; fluency in core post-sales metrics and experience presenting insights to senior leadership.

Nice to have

• Bachelor’s degree in Engineering, Computer Science, or a related technical field.

Pay

$123,100–$184,700 USD base salary

Tools

Excel, SQL, Tableau, Snowflake, Salesforce, Gainsight, Totango, Planhat

AI focus

Use AI/LLM tools to automate reporting, build workflows and frameworks, accelerate analysis, reduce manual operational work, and help establish post-sales AI practices.