Abnormal AI is looking for a Customer Success Operations Manager to join our Customer Success Operations team. This team supports Customer Success, Professional Services, Renewal Management, and Support, helping ensure these groups can operate efficiently and deliver a strong customer experience as we scale.
In this role, you’ll focus on improving the systems, data, and processes that support the customer lifecycle. You’ll partner closely with cross-functional teams to increase visibility, reduce friction in day-to-day workflows, and help teams work more effectively as the business grows.
You’ll also spend time working with data—helping teams understand performance, spot trends, and identify opportunities to improve how we operate. As part of that, you’ll contribute to efforts around automation and tooling, including AI-driven solutions, to help the team scale without adding unnecessary complexity.
This is a hands-on role for someone who enjoys solving operational problems, working across teams, and making things run more smoothly in a fast-paced SaaS environment.
What you will do:- Optimize and standardize processes and workflows to enhance both customer satisfaction and operational productivity.
- Equip internal teams with the right tools, visibility, systems, and processes to ensure our customers achieve success.
- Provide training and support to promote standardized tool usage and best practices, improving team efficiency and consistency.
- Track key performance indicators (KPIs), analyze data to identify trends, and share insights on opportunities and risks.
- Work cross-functionally to address and resolve operational challenges effectively.
- 5+ years of experience in Customer Operations supporting a Customer Success team at a SaaS company.
- Expertise with Salesforce Suite (CRM, Customer 360, Service Cloud, Communities).
- Advanced analytical skills, proficiency in Google Sheets//Excel/Sigma/Databricks/ Tableau etc, with the ability to interpret data and deliver actionable insights.
- Deep knowledge of Customer Success tools (e.g., Gainsight).
- Experience with additional CS tools, such as Gong, Pendo, TaskRay, Smartsheet, and Asana.
- Skilled in designing scalable processes that grow with the organization.
- Hands-on experience building AI-powered workflows (e.g., Glean agents, Claude skills) to automate processes and boost team productivity.
- Proven ability to develop and implement strategies that increase Customer Success team efficiency and effectiveness.
- Experience building and maintaining customer health score models that drive proactive action across CS teams.
- Strong program management, project management and organizational skills, with a history of managing multiple priorities effectively.
- Exceptional communication and interpersonal skills, capable of influencing and collaborating effectively across teams.
- Problem-solving aptitude with a proactive, solutions-oriented approach to overcoming challenges.
- Detail-oriented, self-motivated, and a strong team player with a robust work ethic.
#LI-ME1
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.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
