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Seismic

Senior Customer Success Manager – Transformation, AI Innovation

Seismic

. Partner with CS leadership to translate the future-state Customer Success vision into initiatives, workstreams, and execution plans .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $123,100 - $212,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading cross-functional transformation initiatives within Customer Success and GTM organizations, leveraging AI and automation to drive measurable business impact. Proficient in prototyping AI-enabled workflows and integrating enterprise technology ecosystems to enhance customer engagement and operational efficiency.

Highest-signal resume keywords
Customer Success ExpertiseAI/Automation ImplementationCross-Functional LeadershipWorkflow Automation PrototypingGTM Technology Ecosystem Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI AgentsAPIsWorkflow AutomationEnterprise Data ManagementPrototypingData AnalysisSaaS SolutionsTransformation StrategyCustomer IntelligenceSystems Thinking
Soft Skills
Cross-Functional InfluenceCuriosityProblem-SolvingAdaptabilityCollaboration
Tools & Technologies
SalesforceGainsightData/BI PlatformsEnterprise CapabilitiesAI-Enabled Solutions
Industry Keywords
Customer SuccessGTM TransformationTechnology StrategyProduct AdoptionCustomer Engagement

About the role

Key responsibilities & impact
  • Partner with CS leadership to translate the future-state Customer Success vision into initiatives, workstreams, and execution plans
  • Evaluate current workflows and identify opportunities to eliminate, automate, augment, or redesign work
  • Lead transformation initiatives improving CS productivity, scalability, proactive engagement, and customer impact
  • Coordinate teams, manage dependencies, surface risks, and maintain transformation momentum
  • Evolve the customer intelligence layer across product adoption, engagement, sentiment, support, relationship, lifecycle, and commercial data
  • Translate customer intelligence into prioritized insights, risk and opportunity signals, and next-best actions
  • Embed intelligence into CS workflows and create closed-loop mechanisms connecting signals, actions, and outcomes
  • Translate CS business problems into AI-enabled workflows, solution concepts, data requirements, and technical approaches
  • Rapidly prototype agents, automations, and AI-enabled workflows
  • Evaluate whether to build, buy, integrate, or leverage existing enterprise capabilities
  • Partner with Engineering, Data, IT, Security, and Architecture teams to transition validated concepts into secure, scalable, production-ready capabilities
  • Move initiatives from prototype through pilot, production, adoption, and measurable impact
  • Partner with CS leaders and Enablement to drive workflow and behavior change
  • Establish success criteria and feedback loops
  • Measure impact through productivity, capacity, adoption, proactive risk identification, retention, growth, and customer outcomes
  • Provide visibility into progress, impact, dependencies, and decisions

Requirements

What you’ll need
  • 6+ years of experience across Customer Success, SaaS, GTM transformation, technology strategy, product, AI/automation, or related disciplines
  • Experience leading cross-functional transformation or technology initiatives within CS, post-sales, or broader GTM organizations
  • Experience applying AI, automation, and data to solve real business problems
  • Strong working knowledge of 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
  • Ability to partner effectively with Engineering, Data, Product, IT, Security, and Operations
  • Ability to move complex initiatives from strategy through execution, adoption, and measurable business impact
  • Deep understanding of Customer Success, SaaS, and GTM operating models
  • Strong applied-AI fluency and understanding of AI's impact on Customer Success
  • Systems thinking across people, process, data, technology, and customer experience
  • Ability to move between business strategy and technical execution
  • Track record of turning ambiguous problems into tangible solutions
  • Strong cross-functional influence
  • Curiosity and willingness to continuously experiment, learn, and innovate

Benefits

Comp & perks
  • Incentive plan eligibility in addition to base salary
  • Benefits and perks for the whole self (specific benefits vary by country)