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Enterprise Customer Success Manager in United States at Jobgether

NewJob Function: Customer Service
Jobgether
United States, United States
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Job Description

Enterprise Customer Success Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Enterprise Customer Success Manager in United States.

This role is focused on guiding enterprise customers through the full lifecycle of adoption and value realization of an advanced AI-powered search platform designed for modern AI systems and agents. You will act as a strategic advisor, helping customers integrate cutting-edge LLM-based capabilities into their workflows while ensuring long-term success, expansion, and retention. Working closely with technical and executive stakeholders, you will bridge product capabilities with real-world business and engineering needs. The environment is highly technical, fast-moving, and deeply collaborative, requiring strong fluency in AI-driven products and developer ecosystems. You will also play a key role in shaping customer strategy, from onboarding and implementation to long-term roadmap alignment. This position is ideal for someone who thrives at the intersection of customer success, technical consulting, and AI innovation.

Accountabilities

Own the end-to-end enterprise customer journey, ensuring successful onboarding, adoption, expansion, and renewal of AI-powered search solutions while acting as the primary strategic partner for customers.

  • Lead onboarding and implementation to ensure seamless integration and early value realization
  • Guide enterprise customers in adopting AI search capabilities and building long-term AI/agentic roadmaps
  • Develop scalable enablement resources such as best-practice guides, tutorials, and implementation frameworks
  • Monitor customer health, usage trends, and engagement signals to proactively manage retention and growth
  • Act as the voice of the customer, translating feedback into actionable product and experience improvements
  • Partner cross-functionally with Sales, Product, and Engineering to ensure cohesive customer experiences
  • Support renewal and expansion cycles through strong commercial insight and relationship management
  • Influence product direction by synthesizing enterprise needs and technical feedback
Requirements

Strong experience in enterprise customer-facing technical roles, with the ability to bridge complex AI technologies and business outcomes in fast-paced B2B SaaS environments.

  • 5+ years of experience in Customer Success, Implementation, Solutions Consulting, or similar roles in B2B SaaS
  • Experience working with technical users, developers, or AI/LLM-based platforms
  • Strong understanding of enterprise onboarding, adoption, renewal, and expansion processes
  • Proven ability to manage complex stakeholder relationships, including executives and technical teams
  • Excellent communication and presentation skills, with the ability to simplify complex technical concepts
  • Strong commercial acumen, including experience with renewals, upsell/cross-sell, and CRM tools (e.g., Salesforce, HubSpot)
  • Ability to thrive in fast-paced, ambiguous, and highly autonomous environments
  • Strong empathy for customer outcomes and a consultative, solution-oriented mindset
  • Bonus: familiarity with LLM orchestration frameworks (e.g., LangChain)
Benefits
  • Competitive compensation package with total earnings of $195,000–$230,000 OTE
  • 100% employer-paid medical, dental, and vision insurance for employees and families
  • 401(k) plan with up to 4% company match and immediate vesting
  • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
  • Fully remote work with monthly internet and mobile reimbursement ($85/month)
  • Company-paid short-term, long-term disability, and life insurance coverage
  • Flexible working arrangements supporting autonomy and work-life balance
  • Opportunity to work at the forefront of AI, LLMs, and developer-focused innovation
  • Strong focus on professional growth, learning, and career development
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

United States, United States

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