Director, Cs and Ps Operations

ThoughtSpot ThoughtSpot · Data AI · Mountain View, CA +1

ThoughtSpot is seeking a Director of Customer Operations to scale and modernize its Customer Success and Professional Services functions. This role will design systems, processes, and insights leveraging data, automation, and AI to improve team productivity, customer visibility, and engagement. Key responsibilities include owning customer operations strategy, building scalable systems, operationalizing AI in post-sales (health scoring, risk prediction, next-best action), developing insights and forecasts, optimizing customer segmentation and coverage, managing the CS tech stack with AI-enabled platforms, enabling CSMs with AI-driven guidance, refining customer health frameworks, and ensuring cross-functional alignment. The role requires strong fluency in data, analytics, and AI-driven tools, with a builder mindset and experience scaling post-sales functions.

What you'd actually do

  1. Own Customer Operations Strategy: Partner with CS and PS leadership to define and execute a data-driven customer success strategy that improves retention, expansion, and customer lifetime value
  2. Build Scalable Systems & Processes: Design and optimize end-to-end customer workflows (onboarding through renewal), incorporating automation and AI-assisted workflows to increase coverage and efficiency
  3. Operationalize AI in Post-Sales: Identify and implement AI-powered solutions (e.g., health scoring, risk prediction, next-best action) to enable more proactive and predictive customer management
  4. Insights, Forecasting & Planning: Develop dashboards and reporting that translate data into action, including predictive models for churn, expansion, capacity, and headcount planning
  5. Customer Segmentation & Coverage: Define segmentation and engagement models (high-touch vs. digital), ensuring the right level of coverage and resource allocation across the customer base

Skills

Required

  • 8+ years in Customer Success Operations, RevOps, or related SaaS leadership roles
  • Proven experience scaling post-sales functions in high-growth environments
  • Strong fluency in data, analytics, and AI-driven tools, with the ability to translate insights into action
  • Deep understanding of SaaS metrics (NRR, GRR, churn, expansion) and customer lifecycle management
  • Track record of building scalable processes, systems, and forecasting models
  • Strong cross-functional leadership and communication skills, with experience influencing executive stakeholders
  • Builder mindset - comfortable operating in ambiguity and driving structure in fast-moving environments
  • Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
  • Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
  • Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
  • Write effective prompts to get the most accurate and creative results from AI tools.
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

What the JD emphasized

  • AI-driven guidance
  • AI-driven view
  • AI literacy
  • AI mindset