Rubrik: Lead, Customer Success Operations Analyst — Palo Alto, CA

About Rubrik

Rubrik provides data-security and resilience technology for organisations facing cyberattacks, malicious activity and operational disruption. Its recruitment material discusses protecting enterprise information, including data held in business software and cloud environments. The described portfolio includes security and protection for SaaS applications, with attention to access, backup and recovery. Its business connects the technical handling of information with an organisation's ability to keep critical data protected and to recover when normal operations are disrupted.

The position and its setting

Rubrik lists Lead, Customer Success Operations Analyst in Palo Alto, CA, under reference 8140173. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Support
• Employer listing date: 25 August 2026

Responsibilities and work described

• Rubrik's Customer Success and Renewals organization is the operational backbone that keeps our retention and growth motions running as a measurable, automated, insight-driven system
• Design: and build automation across the customer lifecycle — onboarding, adoption tracking, renewal triggers, risk alerts, health-score refreshes — replacing manual workflows with scalable, self-refreshing processes
• Partner with Product and Engineering to instrument customer and telemetry signals into the reporting layer, and coordinate on closing technical/product gaps surfaced by CS and Renewals data
• Building: and own CS/Renewals dashboards and executive data packs covering GRR/NRR, renewal trends, churn/downsell drivers, at-risk accounts, health distribution, adoption, and time-to-value
• Design: and govern product metrics across product/eng and post sales teams; own data integrity across Salesforce, the CS platform, Snowflake, and Tableau
• Apply AI/LLM tools to automate reporting, build workflows and frameworks from scratch, accelerate analysis, and reduce manual operational work — and help set the standard for how the post-sales org uses AI to scale
• Act as the operational bridge across RevOps, Sales Ops, Finance, Support Ops, Enablement, and Data/BI — leading cross-functional programs and driving alignment on data, definitions, and scaling initiatives
• Delivery: ad hoc and recurring analysis that turns raw data into decision-ready insight for CS and Renewals leadership

Essential requirements and candidate background

• Minimum of 6 years in Customer Success Operations, Revenue Operations, Sales Ops, or a CS/analytics function in B2B SaaS or enterprise technology
• Excel skills, plus fluency in SQL, Tableau, and Snowflake — able to independently build dashboards, + skills and frameworks/apps or agents, define metrics, and derive insight from complex, multi-source data
• Demonstrated experience designing and building automations: workflow automation, triggered actions, CS-platform configuration
• Hands-on experience applying AI/LLM tools to automate reporting, analysis, or operational workflows
• Deep familiarity with Salesforce and a Customer Success platform (Gainsight, Totango, Planhat, or similar)
• Fluency: core post-sales metrics — GRR, NRR, churn, downsell, health scoring, segmentation, renewal motions — and judgment on which ones drive decisions
• Technical/product reasoning, program-management ability, and a track record presenting metrics and insight to senior leadership
• #LI-PM2
• The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits
• The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location
• Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training
• US Pay Range
• $123,100 — $184,700 USD

Education and qualification routes

• Degree / qualification: Bachelor's degree in Engineering, Computer Science, or a related technical field preferred

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Palo Alto, CA

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Lead, Customer Success Operations Analyst vacancy is not an offer for reference 8140173; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Rubrik

Applications follow the official employer page linked below.

Open the official Rubrik posting below and match the title and reference 8140173.

Compare your qualifications and experience with the essential conditions for the Palo Alto, CA position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• AI/ML
• LLMs
• Excel
• Salesforce
• Tableau
• AI
• audit
• sales
• training