Client Success Manager, Enterprise (Temp to Perm)

OfficeSpace Software

13d

About The Position

As an Enterprise Client Success Manager, you own the success of our most strategic customers. You build executive partnerships, drive long-term business outcomes, and help global organizations maximize the value of OfficeSpace. You combine strategic thinking with operational excellence. You leverage AI to surface insights, predict risk, and scale your impact—while building trusted relationships that keep people at the center of every customer experience. This version aligns with the OfficeSpace "High-Performance Innovator" voice by emphasizing active language, ownership, short paragraphs, and high information density.

Requirements

6+ years of Client Success, Strategic Account Management, or Enterprise Account Management experience in a SaaS environment.
Demonstrated success managing complex enterprise customers with executive stakeholders across long customer lifecycles.
Strong executive presence with the ability to influence C-level decision makers.
Experience driving adoption, retention, renewals, expansion, and measurable customer outcomes within recurring revenue businesses.
Expertise building executive business reviews, strategic account plans, customer success frameworks, and long-term account roadmaps.
Experience using Customer Success platforms and CRM technologies such as Gainsight, Salesforce, or similar solutions.
AI fluency with hands-on experience using AI-enabled platforms for forecasting, customer health analysis, workflow automation, research, strategic planning, and executive productivity.
Ability to orchestrate multiple AI tools responsibly while validating recommendations through customer context and business judgment.
Strong analytical thinking with the ability to translate complex customer data into executive-level recommendations.
Exceptional organization, prioritization, and program management skills across large enterprise engagements.
Outstanding executive communication, relationship management, and cross-functional collaboration skills.
Curiosity, adaptability, and a continuous learning mindset with a passion for emerging AI capabilities.

Responsibilities

Own the success, retention, renewal, and growth of a portfolio of enterprise customers with complex organizational structures and executive stakeholders.
Build trusted relationships with executive sponsors and business leaders, serving as a strategic advisor throughout the customer lifecycle.
Lead enterprise onboarding, adoption, and value realization strategies that accelerate measurable business outcomes.
Develop and execute strategic Success Plans aligned to customer objectives, adoption milestones, and long-term business goals.
Leverage AI-powered Customer Success platforms to monitor customer health, predict churn risk, recommend next-best actions, and uncover expansion opportunities.
Lead executive Quarterly Business Reviews (QBRs) that connect product adoption to measurable business impact and ROI.
Partner with Sales to build account strategies that support renewals, expansion, and long-term customer growth.
Lead renewal planning and executive renewal conversations that reinforce customer value and business outcomes.
Advocate for customers by partnering with Product, Engineering, Professional Services, and Support to resolve challenges and influence product direction.
Translate customer feedback into actionable insights that improve our product, positioning, and go-to-market strategy.
Design AI-assisted customer engagement workflows that improve efficiency while preserving meaningful human relationships.
Analyze customer data, industry trends, and organizational change to proactively guide enterprise customers through workplace transformation.
Orchestrate AI agents for research, meeting preparation, executive communications, account planning, customer health analysis, and strategic recommendations while validating outputs with sound business judgment.
Continuously identify opportunities to improve customer success processes through automation, data-driven insights, and scalable best practices.