Customer Success Manager

is an AI-driven enterprise decision-making B2B SaaS platform serving global organizations. We empower sales and talent teams with actionable insights that drive strategic growth. Our mission is to help companies make smarter decisions through data, intelligence, and innovation.

Role Overview

As a Senior Customer Success Manager at Draup, you will be responsible for driving customer adoption, retention, and revenue growth. You will act as a strategic advisor to enterprise clients, ensuring they derive maximum value from Draup s platform and services.

This role requires a proactive leader who can manage complex relationships, deliver insights, and collaborate cross-functionally to elevate the customer experience.

Key Responsibilities

• Customer Engagement: Build and nurture strong relationships with key stakeholders across enterprise accounts to ensure high retention and renewals.
• Strategic Account Planning: Develop and execute success plans aligned with customer goals to drive platform adoption.
• Quarterly Business Reviews (QBRs): Ensure customers realize measurable value through product adoption, leadership reviews, and strategic engagements.
• Cross-functional Collaboration: Partner with Product, Sales, and Engineering teams to advocate for customer needs and influence roadmap decisions.
• Renewals Upsell: Drive renewals and identify expansion opportunities by demonstrating ROI and business impact.
• Customer Advocacy: Develop champions within accounts and encourage participation in case studies, testimonials, and reference programs.
• Data-Driven Insights: Use platform analytics and customer data to provide actionable recommendations and increase usage.

Qualifications Skills

• 7 10 years of experience in Customer Success, Account Management, or Market Research Consulting within a B2B SaaS enterprise technology environment.
• Proven track record of managing large enterprise accounts and delivering measurable customer outcomes.
• Strong business acumen with the ability to understand complex customer environments and translate needs into solutions.
• Excellent communication, presentation, and stakeholder management skills.
• Experience with CRM tools (e.g., Salesforce), CS platforms (e.g., Gainsight), and data analytics is a plus.
• Ability to thrive in a fast-paced, dynamic environment with a customer-first mindset.
• Must be based in Bangalore.
• Immediate joiners preferred.

Why Join Draup

• Recognized as a Great Place to Work organization.
• Work on cutting-edge AI and data-driven solutions.
• Collaborate with global enterprise clients and industry leaders.
• Be part of a high-growth, mission-driven organization.
• Competitive compensation, benefits, and flexibility.
• Culture of innovation, ownership, and continuous learning.

Data Trust Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

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Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Ready to see results Drive better decisions with unmatched, real-time data agentic intelligence

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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.