Senior Customer Success Manager

Overview

As a Customer Success Manager at Signal AI, you nurture enterprise client relationships to maximize value from our platform. You will drive retention, renewal, and growth, partnering with cross-functional teams to ensure a seamless customer journey. You’ll translate customer goals into actionable plans, monitor adoption, and proactively address risks. This role offers impact across strategic accounts and the chance to shape how clients realize business value with AI-powered insights.

Responsibilities

• Drive adoption by aligning Signal AI solutions with customer goals and strategic priorities
• Develop and manage client plans, monitor progress, and proactively mitigate risks
• Contribute to commercial targets through renewals, upsells, and identifying growth opportunities
• Coordinate onboarding with Client Services, Sales, Implementation, and Product for smooth lifecycle
• Ensure configurations/workflows align with best practices and platform capabilities
• Deliver ongoing value via regular engagement, insights, and advisory
• Prioritize accounts by risk and strategic importance and execute renewal/expansion motions
• Track adoption trends to inform customer conversations
• Share industry knowledge to strengthen cross-functional understanding
• Anticipate needs and collaborate with Customer Support to resolve challenges
• Support team goals and company growth initiatives

Key requirements

• Experience in enterprise B2B Customer Success with complex client environments and senior stakeholders
• Proven track record against revenue targets including renewals and expansions
• Data-driven approach to customer engagement and success planning
• Experience in subscription-based or SaaS business models (preferred)
• Strong problem-solving skills in fast-paced, entrepreneurial settings
• Background in Financial Services, Professional Services, Media/PR & Communications, or Data Analytics
• ability to manage end-to-end account relationships

• Communication and relationship-building
• Strategic thinking and advisory mindset
• Proactivity and initiative
• Data-driven engagement and success planning
• Adoption tracking and metrics interpretation
• Onboarding and customer lifecycle management

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