YOUR IMPACTThe OpenText Cloud Client Management team is responsible for delivering Strategic Success Management throughout the customer cloud journey, from post-sales adoption and value realization to renewal. We are seeking an experienced, strategic, and customer-focused Senior Client Manager to help our cloud customers maximize the value of their OpenText solutions while driving retention, growth, and successful renewals.
As a key member of the Client Success team, you will build trusted relationships across customer organizations, align business objectives with solution outcomes, and serve as a strategic advisor and advocate. Reporting into Cloud Renewals, you will lead renewal and commercial activities, influence stakeholders at all levels, and ensure customers achieve long-term success with OpenText.
YOU ARE GREAT AT- Building and maintaining strong relationships with enterprise and strategic cloud customers.
- Promoting the value of the Customer Success partnership across customer and OpenText organizations.
- Managing renewal activities from strategy development through successful contract execution.
- Developing and executing Success Plans aligned to customer business goals and measurable outcomes.
- Leading executive business reviews, governance meetings, and success workshops.
- Monitoring customer health, identifying risks, and driving mitigation plans to ensure long-term success.
- Driving customer adoption of OpenText solutions and identifying opportunities to increase value realization.
- Collaborating with cross-functional teams to deliver exceptional customer experiences.
- Influencing stakeholders and decision-makers, including executive and C-level audiences.
WHAT IT TAKES TO SUCCEED- Bachelor's degree required; MBA or advanced degree is an asset.
- 8-10 years of experience in Customer Success, Account Management, Consulting, Sales, or related client-facing roles.
- Proven track record managing large enterprise customers and driving retention, growth, and renewals.
- Experience with enterprise software, ERP, Service Management, or large-scale technology deployments.
- Strong executive presence with the ability to engage and influence senior stakeholders.
- Excellent verbal and written communication skills in English.
- Experience working with global, cross-functional teams in a fast-paced environment.
- Familiarity with Salesforce, customer success platforms, forecasting methodologies, and Generative AI tools.
- Challenger Sales and/or MEDDIC training is considered an asset.
- Ability to travel up to 30% as business needs require.
ONE LAST THINGOpenText is more than a global technology leader-we are a values-driven community built on trust, accountability, and innovation. Here, ownership matters, collaboration is essential, and your work makes a real impact. Join us to help shape the future of information management while building a career where your voice is heard and your contributions truly matter.
Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
Salary Range: $97,440 - $146,160; Depending on the candidate's education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.
California Residents: The pay range above is a reasonable estimate of salary based on pay scale, candidate experience, skills, and education. In addition to the comprehensive benefits noted above, the role may be eligible for bonus or commissions.
AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.
