Customer Success Executive

Position: Customer Success Executive

Location: Bangalore

Abouts us: Ai Palette (A GlobalData company) is an AI-powered trend prediction and product innovation platform helping CPG brands launch successful products through real-time consumer insights. Our SaaS platform analyses billions of data points from social media, e-commerce, and other digital sources to uncover emerging trends, enabling faster and data-driven innovation.

Required

What we are looking for:

• Min. 3 years relevant experience in the Consumer-Packaged Goods industry. MBA from Tier 1/2 colleges.
• Experience in Customer Success, Account Management, Consulting, or a similar client-facing role
• Strong ability to build and manage long-term customer relationships
• Analytical mindset with confidence using data, dashboards, and insights to guide decisions
• Excellent communication and stakeholder-management skills
• Experience working cross-functionally in a fast-moving environment
  
  

Preferred

• Experience working with AI-driven platforms, analytics, or data products
• Familiarity with customer health, retention metrics, and ROI measurement
  
  

What Sets You Apart

• An AI-first mindset: you naturally look to data and insight to guide action
• A proactive approach to problem-solving and customer leadership
• Curiosity about customers, industries, and emerging trends
• Commercial awareness paired with genuine customer empathy
  
  

Why Join Us

• Be part of a team redefining Customer Success around outcomes, insight, and AI-driven leadership
• Work with customers who value strategic partnership, not transactional support
  
  

Role Overview: We're looking for a Senior Customer Success Executive (CSE) to build strategic, long-term customer partnerships and drive measurable business outcomes using an AI-first approach. This role goes beyond traditional customer success or account management. You'll act as a trusted advisor, guiding customers from onboarding through value realization, adoption, and growth — using AI-powered insights to proactively identify opportunities, risks, and next-best actions.

Key Responsibilities

Lead Customer Outcomes:

• Build strong, value-led relationships with customers, ensuring they achieve meaningful ROI from our solutions.
• Diagnosing customer needs to understand priorities, challenges, and success criteria.
• Develop and lead implementation and success plans that align customer goals with clear outcomes.
• Design and execute service plays to drive adoption, value, and consumption across the year.
  
  

Use AI & Insights To Lead Proactively

• Leverage AI-driven analytics and customer health signals to anticipate needs, risks, and growth opportunities.
• Move customer conversations from usage metrics to business impact and progress.
• Apply industry and market insight to help customers respond to emerging challenges and opportunities.
  
  

Partner Across Teams

• Work closely with Account Management, Commercial, Research, and Product teams to ensure customer objectives are clearly understood and supported.
• Partner on onboarding to ensure fast time-to-value and strong early alignment.
• Identify and support expansion, consulting, and upsell opportunities based on demonstrated customer value.
• Contribute to cross-functional Customer Success initiatives that improve consistency, scale, and impact.
  
  

Champion The Voice Of The Customer

• Act as the voice of the customer within the business, providing clear feedback to inform product, research and service improvements.
• Build trusted relationships with both operational and senior stakeholders.
• Maintain accurate customer records and insights into relevant systems to support data-driven decision-making.
  
  

Commitment To D&I And EEO

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, AI Palette (GlobalData) is proud to be an Equal Opportunity Employer. AI Palette (GlobalData) is determined to ensure that no applicant or employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.