Technical Account Manager (Pre-Sales)

Posted 2 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Artificial Intelligence • Software • Analytics • Business Intelligence
The Role
Own technical relationships and account expansion for 8–15 strategic enterprise customers through pre-sales and onboarding. Lead technical discovery, proof-of-concept delivery, solution design, executive reviews, adoption planning, and ROI modeling. Identify upsell, cross-sell, and integration opportunities across Rubiscape’s platform, coordinate technical escalations with internal teams, and develop account plans supporting renewals, increased adoption, and measurable business outcomes.
Summary Generated by Built In

 

About the Role

The Technical Account Manager (Pre-Sales) at Rubiscape occupies a unique intersection of relationship management and technical depth — owning the long-term technical health and expansion trajectory of our most strategic enterprise accounts through the pre-sales and early post-sales phases. You will combine the commercial instincts of an Account Manager with the platform expertise of a Solutions Consultant, ensuring that each account's Decision Intelligence journey expands from initial use case to platform-wide adoption across RubiFlow, RubiSight, RubiStudio, and RubiAI. You are the trusted technical advisor who turns a 90-day first production win into a multi-year enterprise partnership.

 

Key Responsibilities

·         Serve as the primary technical point of contact for a portfolio of 8–15 strategic enterprise accounts, managing relationships with data engineering leads, CDOs, and IT decision-makers through the pre-sales and onboarding phases.

·         Drive platform expansion within accounts by identifying new use cases, additional studio deployments, and integration opportunities across Rubiscape's full product suite.

·         Conduct regular technical health reviews and executive business reviews (EBRs) that map platform adoption metrics to the customer's evolving Decision Intelligence roadmap.

·         Lead PoC scoping and delivery for expansion opportunities within existing accounts — applying discovery, solution design, and ROI modelling disciplines to land upsell and cross-sell motions.

·         Act as the internal advocate for account-specific requirements, coordinating with Product, Engineering, and Customer Success to resolve technical escalations and influence roadmap prioritisation.

·         Develop account-specific platform adoption plans that demonstrate a clear path to 5x TCO reduction and measurable business outcomes within 12–18 months of initial deployment.

·         Produce technical account plans, stakeholder maps, and expansion business cases that equip Account Executives with the intelligence needed to grow ARR within the portfolio.

 



Requirements

·         4–6 years of experience in technical account management, customer success engineering, or pre-sales consulting within enterprise data, analytics, or SaaS platforms.

·         Strong technical grounding in data platform architecture — able to discuss ETL/ELT pipelines, BI governance, MLOps workflows, and cloud deployment models credibly with engineering teams.

·         Demonstrated success managing and growing a portfolio of enterprise accounts with ARR exceeding INR 50L per account, including upsell and renewal ownership.

·         Experience conducting executive business reviews and creating data-driven account health reports that influence executive-level renewal and expansion decisions.

·         Familiarity with at least one major cloud data platform ecosystem (AWS, Azure, or GCP) and associated enterprise data services (storage, compute, security, identity).

·         Bachelor's degree in Computer Science, Business Technology, Engineering, or a related field.

 

Nice to Have

·         Prior experience in a hybrid pre-sales/post-sales or "land and expand" technical role at a data platform, analytics SaaS, or AI infrastructure vendor.

·         Knowledge of enterprise customer success methodologies (Gainsight, ChurnZero) and their application to technical account planning.

·         Exposure to IoT, real-time streaming, or edge analytics use cases relevant to manufacturing and utilities customers using RubiThings.

·         Experience working within India's enterprise procurement cycles across BFSI, government, and large conglomerates.



Skills Required

  • 4–6 years of experience in technical account management, customer success engineering, or pre-sales consulting within enterprise data, analytics, or SaaS platforms.
  • Strong understanding of data platform architecture, including ETL/ELT pipelines, BI governance, MLOps workflows, and cloud deployment models.
  • Demonstrated success managing and growing enterprise accounts with ARR exceeding INR 50 lakh per account, including upsell and renewal ownership.
  • Experience conducting executive business reviews and creating data-driven account health reports influencing renewal and expansion decisions.
  • Familiarity with at least one major cloud data platform ecosystem: AWS, Azure, or GCP, including storage, compute, security, and identity services.
  • Bachelor’s degree in Computer Science, Business Technology, Engineering, or a related field.
  • Experience in hybrid pre-sales/post-sales or land-and-expand technical roles at a data platform, analytics SaaS, or AI infrastructure vendor.
  • Knowledge of enterprise customer success methodologies such as Gainsight or ChurnZero.
  • Exposure to IoT, real-time streaming, or edge analytics use cases for manufacturing and utilities customers.
  • Experience with enterprise procurement cycles in India across BFSI, government, and large conglomerates.
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The Company
30 Employees
Year Founded: 2018

What We Do

Rubiscape is a decision intelligence platform that unifies business intelligence, analytics, data science, and artificial intelligence in one place, helping organizations move from BI to AI. Its technology and product-development work spans AI-focused development, software engineering, product management, agile delivery, security operations, and DevOps, reflecting a software platform mission centered on enabling data-driven decisions across modern organizations.

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