Customer Success Manager (SaaS)

Location: Texas, Illinois, or Colorado, United States

Salary: $121,000–$240,000 USD annually

Company

hirify.global, an SAP Company, provides a cloud-native SaaS Context Intelligence Platform that harmonizes, unifies, and governs structured and unstructured data for enterprise applications and AI systems.

What you will do

• Manage relationships with large enterprise customers and drive adoption, retention, growth, and customer advocacy.
• Build strategic success plans aligned with customer goals, business cases, stakeholders, milestones, risks, and metrics.
• Identify adoption opportunities and retention risks, maintain customer health visibility, and support data-driven decisions.
• Act as a trusted advisor by demonstrating product capabilities, recommending solutions, and helping customers achieve measurable business outcomes.
• Lead customer meetings, executive workshops, and outcome reviews while tracking adoption milestones and ROI.
• Partner with sales, account teams, marketing, and technical stakeholders on expansion opportunities, case studies, and customer value creation.

Requirements

• Bachelor’s degree or equivalent experience.
• At least 5 years of relevant experience as a Technical Customer Success Manager, Technical Account Manager, or Success Architect in enterprise software.
• Deep knowledge of cloud software, master data management, data governance, data quality, analytics, and software architecture.
• Experience in data management consulting or solutioning and understanding how applications fit within customer ecosystems.
• Strong consultative, discovery, presentation, verbal, and written communication skills, including credibility with senior executives.
• Proven ability to lead executive meetings and workshops and quantify business value.

Nice to have

• Previous hirify.global experience.
• hirify.global certifications.
• MBA or another advanced degree.

Culture & Benefits

• Customer-first culture focused on collaboration, accountability, knowledge sharing, and continuous improvement.
• Flexible work arrangements supported by a distributed-workforce model.
• Opportunity to work with enterprise-scale connected-data and AI technology.
• Equal employment opportunity and reasonable accommodation for applicants with disabilities.