8 дней назад
Senior Customer Success Operations Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Customer Success Operations Manager (B2B SaaS/AI infrastructure): Driving end-to-end Customer Success operations by designing playbooks, building internal tools, and translating customer data into scalable workflows with an accent on Salesforce, BI, automation, and health scoring. Focus on operationalizing renewal and churn processes, improving risk intervention, and turning complex data into actionable leadership insights.
Location: Campbell, CA, United States; hybrid attendance required one day per week at the Campbell office.
Company
develops cloud and AI-native data infrastructure that helps enterprises and research organizations accelerate machine learning, AI model training, inference, and other compute-intensive workloads.
What you will do
- Own Customer Success operational projects from scoping and design through implementation and iteration.
- Design and operationalize playbooks for over-usage outreach, churn off-boarding, renewal preparation, and proactive risk intervention.
- Build and maintain internal tools, dashboards, and reporting for customer health, renewal risk, and operational performance.
- Define and improve Customer Success processes and workflows, identifying gaps and driving measurable improvements.
- Partner with Data Engineering, BI, Finance, RevOps, Product, and Sales to improve CS data infrastructure.
- Support health scoring and segmentation models and translate complex data into leadership, QBR, board-level, and strategic analyses.
Requirements
- 5+ years of experience in Customer Success Operations, Revenue Operations, Business Operations, or a similar role in B2B SaaS or enterprise technology.
- Experience delivering operational projects end-to-end, including processes, tools, and workflows.
- Strong Salesforce skills, including reporting, dashboards, and data model navigation.
- Experience with BI tools and data warehouses such as Snowflake, Looker, or Tableau.
- Advanced Excel or Google Sheets skills and comfort working with structured data across multiple systems.
- Strong communication skills, autonomy, and experience designing playbooks or standard operating procedures for customer-facing teams.
Nice to have
- Hands-on experience integrating AI or ML tools into workflow automation, content generation, or data analysis.
- Experience with infrastructure, storage, or data platform technologies.
- Familiarity with customer health scoring, churn prediction, or Net Revenue Retention analytics.
- Program or project management experience across Engineering, Product, and Go-to-Market teams.
- Experience building automation with Python, JavaScript, or low-code/no-code platforms.
Culture & Benefits
- Accountability, integrity, ownership, and high performance are core operating principles.
- Collaborative environment focused on empathy, transparency, constructive debate, and shared results.
- Customer-centric culture focused on helping customers achieve successful outcomes.
- Inclusive workplace committed to equal opportunity and a diverse workforce.
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