Senior AI-Driven CS Transformation Leader

Cacheflow

United States

On-site

USD 123,000 - 212,000

Full time

6 days ago

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Job summary

Seismic is seeking a Sr. CS Transformation & AI Innovation Manager to accelerate the next generation of Customer Success.

This role blends CS transformation, technology, data, and AI to turn strategy into scalable ways of working, partnering across CS, Product, Engineering, Data and Operations. The candidate will apply AI, automation, and customer intelligence to reduce manual work, increase proactive engagement, and enable measurable business impact.

Qualifications

6+ years of experience across CS, SaaS, GTM transformation, technology strategy, product, AI/automation, or related disciplines.
Demonstrated experience leading cross-functional transformation or technology initiatives within CS, post-sales, or broader GTM organizations.
Proven experience applying AI, automation, and data to solve real business problems.
Strong working knowledge of modern AI capabilities, including LLMs, AI agents, APIs, integrations, workflow automation, and enterprise data.
Hands‑on experience prototyping AI‑enabled workflows, agents, automations, or similar solutions.
Experience with enterprise GTM technology ecosystems such as Salesforce, Gainsight or comparable CS platforms, data/BI platforms, and workflow automation technologies.
Demonstrated ability to partner effectively with Engineering, Data, Product, IT, Security, and Operations.
Proven ability to move complex initiatives from strategy through execution, adoption, and measurable business impact.

Responsibilities

Transform the CS Operating Model by translating the future-state vision into initiatives and execution plans.
Evaluate current work processes and identify opportunities for elimination, automation, or redesign.
Lead high-priority transformation initiatives to improve CS productivity and impact.
Move ideas and pilots into adopted, scalable capabilities delivering measurable value.
Coordinate across teams, manage dependencies, surface risks, and maintain momentum.
Advance the CS intelligence layer by connecting customer signals across systems.
Translate intelligence into prioritized insights, risk signals, and next-best actions.
Embed intelligence into CS workflows rather than creating extra dashboards or tools.
Prototype AI-enabled workflows and rapid agents to test ideas and accelerate decisions.
Partner with Engineering, Data, IT, Security, and Architecture to productionize validated concepts.