AI Customer Success Manager - Tech Sales

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Team: AI - CSM Team (Pre-sales) | Enterprise Segment

Location: Bangalore / Mumbai / Delhi | Experience: 3-5 Years | Joining: Immediate to 45 Days

Rapyder is scaling its AI Practice, and we are looking for an AI Customer Success Manager - a commercially sharp tech-sales professional with real AI expertise - who can help the Enterprise Sales team turn AI opportunities into Order Booking. This is a Pre-sales role that works as an extension of the Enterprise Sales team: account ownership stays with Enterprise Sales, while you drive the AI funnel within their accounts.

You will partner closely with Enterprise Account Managers and Solution Architects. Sales owns the account relationship and commercial closure, SAs own the architecture, you own the AI funnel - bringing AI sales energy and expertise to uncover and qualify use cases, keep deals moving, and clear blockers, so that every AI opportunity converts to Order Booking faster.

If you have the sales drive, understand how AI creates business value, and enjoy being the force multiplier behind a sales team - this role is for you.

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  AI Funnel Support for Enterprise Sales: Work with Enterprise Account Managers to build, track and progress the AI pipeline within their accounts - identify AI opportunities, qualify leads, run regular pipeline reviews and help convert the funnel to Order Booking.
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  Account Mining & Use-Case Identification: Join account planning with Sales to map customer priorities to AI use cases (GenAI, Agentic AI, AI/ML), spot whitespace and bring AI conversations into existing relationships.
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  Opportunity Qualification & Deal Support: Join discovery calls to assess business pain, budget, stakeholders and timelines; recommend next steps, win themes and engagement plans to move deals forward.
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  Use-Case Selling & Business Cases: Articulate AI value propositions, ROI and business cases for CXOs and business heads, and support Sales in positioning Rapyder’s AI offerings and accelerators.
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  Proposal, Pricing & Closure Support: Coordinate proposals, SOWs and pricing inputs with SAs, and support Sales through negotiation, approvals and closure.
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  Funnel Governance & Reporting: Keep opportunity data accurate in CRM, flag risks and stalled deals early, and share AI pipeline, conversion and forecast insights with AI Practice leadership.
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  Handover & Customer Success: Ensure smooth handover to Delivery, track early customer satisfaction and help Sales identify follow-on and expansion opportunities.
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  Partner Ecosystem Play: Leverage AWS, Microsoft and other partner programs - co-selling, funding, credits and joint events - to accelerate deals.
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  Market Intelligence & Enablement: Track AI platform updates and competitor offerings, and enable Sales with talk tracks, battle cards, case studies and demand-generation support.

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  3-5 years of experience in tech sales, pre-sales, sales support, customer success or business development for cloud, AI solutions, with a track record of contributing to pipeline growth and closed deals.
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  Experience supporting or working with enterprise sales teams across the sales cycle - from lead qualification to order booking.
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  Solid working understanding of AI / GenAI concepts: LLMs, RAG, AI agents, common enterprise use cases and the AWS (Bedrock, SageMaker) and/or Azure (AI Foundry, Copilot) AI portfolios - enough to hold credible conversations and partner effectively with SAs.
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  Strong consultative selling skills - able to uncover business problems, build value-based pitches and navigate multi-stakeholder buying cycles.
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  Excellent communication, presentation and influencing skills; comfortable engaging CXO-level stakeholders and working through, not around, account owners.
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  Working knowledge of CRM tools (Zoho or similar), pipeline management and forecasting.
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  Highly collaborative and self-driven - able to manage multiple opportunities across several accounts and teams in parallel.
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  Bachelor’s degree in Engineering, Computer Science, Business or a related field; MBA is a plus.

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  Cloud or AI certifications such as AWS Cloud Practitioner / AI Practitioner / Solutions Architect Associate, or Azure AI Fundamentals.
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  Experience in cloud consulting, system integrator or managed services environment.
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  Experience with partner funding programs (e.g., AWS MAP, POC funding, Microsoft programs) and co-sell motions.
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  Familiarity with industry use cases in BFSI, Manufacturing, Retail, Healthcare or Logistics.
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  Exposure to responding to RFPs and building commercial proposals.
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  Experience in a hands-on technical role earlier in the career, such as engineer or solution consultant.