About this role
Team: AI - CSM Team (Pre-sales) | Enterprise Segment
Location: Bangalore / Mumbai / Delhi | Experience: 3-5 Years | Joining: Immediate to 45 Days
About the Role
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.
Key Responsibilities
• 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.
• 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.
• 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.
• 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.
• Proposal, Pricing & Closure Support: Coordinate proposals, SOWs and pricing inputs with SAs, and support Sales
through negotiation, approvals and closure.
• 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.
• Handover & Customer Success: Ensure
smooth handover to Delivery, track early customer satisfaction and help Sales
identify follow-on and expansion opportunities.
• Partner Ecosystem Play: Leverage AWS,
Microsoft and other partner programs - co-selling, funding, credits and joint
events - to accelerate deals.
• Market Intelligence & Enablement: Track AI platform updates and competitor offerings, and enable Sales with talk
tracks, battle cards, case studies and demand-generation support.
What We’re Looking For
• 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.
• Experience supporting or
working with enterprise sales teams across the sales cycle - from lead qualification to order booking.
• 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.
• Strong consultative selling skills - able to uncover business problems,
build value-based pitches and navigate multi-stakeholder buying cycles.
• Excellent communication,
presentation and influencing skills; comfortable engaging CXO-level
stakeholders and working through, not around, account owners.
• Working knowledge of CRM tools (Zoho or similar), pipeline
management and forecasting.
• Highly collaborative and
self-driven - able to manage multiple opportunities across several accounts and
teams in parallel.
• Bachelor’s degree in
Engineering, Computer Science, Business or a related field; MBA is a plus.
Good to Have
• Cloud or AI certifications such
as AWS Cloud Practitioner / AI Practitioner / Solutions Architect Associate, or
Azure AI Fundamentals.
• Experience in cloud consulting,
system integrator or managed services environment.
• Experience with partner funding
programs (e.g., AWS MAP, POC funding, Microsoft programs) and co-sell motions.
• Familiarity with industry use
cases in BFSI, Manufacturing, Retail, Healthcare or Logistics.
• Exposure to responding to RFPs
and building commercial proposals.
• Experience in a hands-on
technical role earlier in the career, such as engineer or solution consultant.