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Signal AI is an AI-native company using cutting-edge technology to provide clarity on decisions that shape businesses and society. The Customer Success team serves as the bridge between clients and Signal AI, driving retention, growth, and customer satisfaction.
As a Senior Customer Success Manager reporting to the VP Customer Success, you will manage and grow a portfolio of enterprise accounts, ensuring each customer achieves meaningful value from the platform while identifying opportunities for renewal, upsell, and cross-sell. You'll partner closely with Sales, Marketing, Product, Engineering, and Data Science to support a seamless customer journey and deliver measurable commercial impact.
Key responsibilities:
- Drive adoption of Signal AI by understanding customer goals and aligning solutions to their strategic priorities
- Build and execute client plans, monitor progress, and address risks proactively
- Contribute to commercial targets through renewals, upsells, and identification of new growth opportunities
- Partner with Client Services, Sales, Implementation, and Product to deliver smooth onboarding and consistent customer lifecycle management
- Ensure customer configurations and workflows align with Signal AI best practices and capabilities
- Deliver ongoing value through regular engagement, insights, and advisory
- Prioritize accounts based on risk, opportunity, and strategic importance; execute renewal and expansion motions
- Track and interpret adoption trends to guide customer conversations
- Share industry knowledge and best practices internally to strengthen cross-functional understanding
- Anticipate customer needs and collaborate with Customer Support to resolve challenges quickly
- Contribute to Customer Success team goals and overall company growth initiatives
Requirements:
- Experience in enterprise B2B Customer Success, working with complex client environments and senior stakeholders
- Proven success against revenue targets, including renewals and expansion, with ownership of end-to-end account management
- Data-driven approach to customer engagement and success planning
- Experience in subscription-based or SaaS business models (preferred)
- Strong problem-solving skills and comfort operating in a fast-paced, entrepreneurial environment
- Background in one or more relevant industries: Financial Services, Professional Services, Media, PR & Communications, or Data Analytics