Senior Enterprise Customer Success Manager
Outreach›
📍US
Posted 4w ago · via lever
Apply on lever→Job Description
Your Daily Adventures Will Include
Customer Outcomes & Value Realization
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Own a portfolio of customers and ensure they achieve measurable business outcomes
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Drive adoption of core platform capabilities, with a strong focus on AI-powered features
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Lead Executive Business Reviews (EBRs) tied to ROI, productivity gains, and revenue impact
AI Adoption & Enablement
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Educate customers on AI capabilities (e.g., automation, predictive insights, personalization)
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Partner with customers to embed AI into their workflows (sales, CS, RevOps, etc.)
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Identify opportunities to expand usage through AI-driven use cases
Data-Driven Account Management
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Leverage customer data and AI insights to proactively identify risks and expansion opportunities
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Monitor health scores, usage trends, and engagement signals to drive action
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Use AI tools to surface recommendations and next best actions
Retention & Growth
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Own renewal strategy and mitigate churn/contraction risk
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Identify and drive expansion opportunities (upsell/cross-sell), especially tied to AI value
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Partner with Sales and RevOps to align on account strategy
Cross-Functional Collaboration
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Work with Product and Engineering to advocate for customer needs and AI enhancements
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Partner with Professional Services on onboarding and complex implementations
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Provide feedback on AI models, accuracy, and customer sentiment
Our Vision of You
Required Qualifications
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10+ years in Customer Success, Account Management, or Consulting (SaaS preferred)
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Experience managing enterprise customer relationships
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Strong analytical mindset with the ability to interpret data and translate into action
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Proven track record of driving renewals, expansion, and customer outcomes
Preferred Qualifications (AI-Focused)
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Experience working with AI/ML-powered products or automation tools
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Familiarity with concepts like predictive analytics, generative AI, or workflow automation
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Experience using platforms like Salesforce, Gainsight, or Outreach
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Ability to translate AI capabilities into business value for non-technical stakeholders
Key Skills
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Strategic thinking and consultative problem-solving
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Executive communication and stakeholder management
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Data analysis and storytelling
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Change management and adoption enablement
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Curiosity and adaptability in a fast-evolving AI landscape
Why This Role Matters
#LI-LT1
Details
- Department
- Customer Success
- Work Type
- remote
- Locations
- US
- Posted
- March 27, 2026
- Source
- lever