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Pre-Sales Lead

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Riverstone Talent
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Sales Engineer, Data Science Manager
Job Description & How to Apply Below
Location: Bengaluru

About the company : A well funded Series-A Enterprise AI startup - building AI/ML products for the BFSI/financial sector.

Seeking a Pre-Sales Lead for their ZERO code AI platform which offers End to End data Science Machine Learning (DSML) solutions. This is a key leadership role within their Sales and Solutions Delivery team.

Roles & responsibilities:

Solution Design & Strategy
Architect end-to-end pre-sales AI/ML solutions tailored to client business challenges.
Deliver high-impact product demos and lead Proof of Value (PoV) engagements to quantify business ROI.
Partner with sales to qualify opportunities, craft value-driven proposals, and act as an AI/ML subject matter expert.

Leadership & Team Management
Mentor and lead the Pre-Sales team while standardizing processes, templates, and RFP workflows.
Collaborate across Sales, Product, and Delivery teams to ensure smooth post-sale project execution.
Act as a trusted advisor, guiding clients through the full ML lifecycle from model building to deployment.

Proposal & Bid Management
Lead RFP responses and proposal creation, managing solution scope, timelines, pricing, and architecture.

Coordinate cross-functional teams to guarantee timely, high-quality bid delivery.

Qualifications & Experience
Education & Experience
Degree:  Bachelor’s in CS, Engineering, or Data Science;
Master’s or MBA is a plus.
Pre-Sales Leadership:  5+ years in DS/ML with a proven track record leading Pre-Sales or Solution Engineering for complex enterprise AI sales cycles.
Domain & Technical Expertise
Fin Tech Domain:  Strong domain knowledge in credit risk, debt collection, and customer acquisition scorecards for financial services.
Technical Depth:  Deep understanding of data engineering, big data analytics, and end-to-end AI/ML platforms.
Team Leadership:  Demonstrated ability to mentor, coach, and scale high-performing technical teams.
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