2 months ago
Customer Success Manager (Fintech)
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Job description
Text:
TL;DR
Customer Success Manager (Fintech): Managing a portfolio of high-value enterprise accounts to drive retention and expansion with an accent on C-suite relationship management and credit risk domain expertise. Focus on translating platform capabilities into tangible business outcomes and orchestrating cross-functional teams to ensure long-term strategic growth.
Company
is a leading global analytics software company helping businesses in over 100 countries make better decisions using big data and AI.
What you will do
- Build and sustain trust-based relationships with C-level and senior executive stakeholders.
- Develop multi-year account strategies to identify expansion, upsell, and cross-sell opportunities.
- Apply domain expertise in credit risk, fraud, and decisioning to provide strategic advisory.
- Translate platform capabilities into measurable business impacts, such as reducing credit losses.
- Orchestrate cross-functional teams including product, sales, and professional services to optimize customer experience.
- Lead renewal conversations and maintain accurate commercial forecasting in Salesforce.
Requirements
- Experience in senior customer-facing roles such as strategic account management or management consulting.
- Deep domain expertise in financial services, specifically credit risk management, fraud prevention, or decisioning.
- Proven track record of influencing C-level executives and owning revenue targets.
- Ability to build complex multi-stakeholder account plans aligned with strategic growth.
- Full professional fluency in English.
- Must be based in Sydney or Melbourne, Australia.
Nice to have
- Experience in financial services SaaS or technology.
- Bachelor's degree in Business, Finance, or a related field.
Culture & Benefits
- Inclusive culture emphasizing ownership and customer delight.
- Competitive compensation and rewards programs.
- People-first environment offering work/life balance and social events.
- Opportunities for professional development in Big Data analytics, AI, and machine learning.
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