Sr. Customer Success Manager, Enterprise (TOLA)

Abnormal AI, Inc.

$139K — $164K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in enterprise SaaS; 3+ years in Customer Success or related roles
  • Demonstrated ability managing complex customer relationships with executive stakeholders
  • Strong communication and analytical skills focused on measurable outcomes
  • Technical familiarity with internet/networking technologies; security product experience is a plus
  • Proficient in CRM and support tools like Salesforce and Jira
  • Bachelor's degree in a technical field or equivalent experience

Responsibilities

  • Manage strategic customer relationships focused on value delivery with minimal oversight
  • Deliver outcome-oriented QBRs/EBRs and lead success planning
  • Drive platform adoption and feature engagement through education and best practices
  • Monitor account health and proactively identify risks for mitigation
  • Resolve complex customer escalations with a focus on trust and satisfaction
  • Collaborate with internal teams to influence renewal and expansion efforts
  • Advocate for customer needs internally by providing structured feedback
  • Contribute to knowledge sharing and internal process development or mentoring

Benefits

  • Comprehensive benefits package
  • Eligibility for bonus or incentive compensation
  • Equity opportunities
  • Supportive work environment for continuous improvement
  • Collaborative cross-functional teamwork focus
Full Job Description
About the Role

As a Senior Customer Success Manager, you will independently manage strategic customer relationships and ensure long-term value realization across a portfolio of mid-market and enterprise accounts. You will lead success planning, drive adoption and engagement, and mitigate risk while collaborating cross-functionally with Product, Engineering, Sales, and Support. Your work will have a direct impact on retention, satisfaction, and account growth, and you'll contribute insights to help evolve customer and internal processes.
Who you are
  • Confident operating independently, navigating strategic accounts, and aligning customer needs with organizational goals
  • Comfortable managing technical and strategic issues, leveraging internal partnerships to drive outcomes
  • Effective communicator with the ability to present complex ideas clearly across a range of audiences
  • Adaptable and proactive in dynamic, fast-paced environments with a continuous improvement mindset
What you will do
  • Manage strategic customer relationships post-sale, focusing on adoption, retention, and value delivery with minimal oversight
  • Deliver outcome-oriented QBRs/EBRs and lead success planning to align customer goals with platform capabilities
  • Drive platform adoption and feature engagement through best practices, enablement, and education on roadmap developments
  • Monitor account health using data-driven insights; proactively identify risks and lead coordinated mitigation efforts
  • Resolve complex escalations with timely, clear communication and a focus on long-term customer trust and satisfaction
  • Collaborate with Sales, Engineering, and Support to influence renewal and expansion outcomes
  • Represent the customer voice internally, providing structured feedback to Product and other teams
  • Support knowledge sharing and contribute to internal process development or mentoring where relevant
Must Haves
  • 8+ years of experience in enterprise SaaS, with at least 3 years in Customer Success, TAM, or support roles
  • Proven track record managing complex customer relationships, including executive-level stakeholders
  • Strong communication, analytical, and problem-solving skills with an emphasis on delivering measurable outcomes
  • Technical familiarity with internet and networking technologies; experience with security products is a plus
  • Proficiency in CRM and support tools such as Salesforce and Jira
  • Bachelor's degree in a technical field (e.g., Computer Science, Engineering) or equivalent professional experience

#LI-MC2

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:

$139,440-$164,000 USD

AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.

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