Senior Pre-Sales Consultant

Posted 23 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Artificial Intelligence • Software • Analytics • Business Intelligence
The Role
Leads technical pre-sales for enterprise accounts, including discovery, PoCs, technical evaluations, RFP/RFI responses, competitive positioning, and deal handoffs. Builds integrated data and AI demonstrations, develops ROI models, presents to executive and technical stakeholders, and mentors junior consultants. Collaborates with product, engineering, security, legal, marketing, and customer success teams to support strategic opportunities and improve the pre-sales function.
Summary Generated by Built In
About the Role

As Senior Pre-Sales Consultant at Rubiscape, you are the seasoned technical champion who owns the most complex and competitive evaluations in our enterprise pipeline. You combine deep platform expertise across all six Rubiscape studios with sharp commercial instincts — running multi-threaded PoCs, mentoring junior pre-sales consultants, and building the reusable technical assets that scale our win rate. In this role you will drive technical qualification, own RFP responses end-to-end, and be the face of Rubiscape's platform credibility in head-to-head competitive bake-offs against global BI and data platforms.

 

Key Responsibilities

·         Lead full-cycle technical pre-sales for strategic enterprise accounts — from initial discovery through PoC delivery, technical win confirmation, and handover to Customer Success.

·         Design and execute multi-studio PoC environments that demonstrate integrated value across RubiFlow data pipelines, RubiStudio AutoML, RubiSight analytics, and RubiAI copilot capabilities within agreed evaluation timelines.

·         Build detailed competitive battle cards and objection-handling frameworks positioning Rubiscape against legacy BI tools, modern data platform stacks, and point AI solutions.

·         Own end-to-end RFP/RFI responses for enterprise and public sector accounts, coordinating technical inputs from product, engineering, security, and legal teams.

·         Mentor and guide Pre-Sales Consultants on discovery techniques, PoC methodology, and ROI modelling, continuously raising the team's technical and commercial capability.

·         Quantify and present business cases that translate platform metrics — 3x faster pipelines, 40% decision latency reduction, 5x TCO improvement — into account-specific financial impact models.

·         Collaborate with Marketing to develop technical content, case studies, and platform comparison materials that support pipeline generation and analyst engagement.



RequirementsRequirements

·         4–7 years of enterprise pre-sales or solutions consulting experience in data analytics, AI/ML platforms, or cloud data infrastructure, with at least 2 years in a senior or lead capacity.

·         Demonstrated ability to independently run PoCs involving data ingestion, transformation (SQL/Python), dashboard creation, and predictive model deployment on enterprise platforms.

·         Hands-on expertise with modern data stack tools including at least two of: Databricks, Snowflake, dbt, Azure Data Factory, AWS Glue, Power BI, Tableau, or Looker.

·         Proven experience owning RFP responses and technical evaluations for deals with ACV exceeding INR 1 Cr, including regulated industry requirements.

·         Strong executive communication skills — ability to present technical architecture and business ROI to mixed audiences of CIOs, CDOs, and data engineering leads.

·         Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; cloud platform certifications are a plus.

 

Nice to Have

·         Experience deploying or evaluating Decision Intelligence or AutoML platforms in BFSI, manufacturing, or healthcare enterprise environments.

·         Prior team lead or mentoring experience within a pre-sales or field engineering function.

·         Familiarity with enterprise integration patterns (APIs, Kafka, event-driven architecture) relevant to Rubiscape's 200+ connector ecosystem.

·         Knowledge of India's enterprise data procurement landscape, including public sector tendering (GeM, NIC) and BFSI regulatory frameworks.



Skills Required

  • 4–7 years of enterprise pre-sales or solutions consulting experience in data analytics, AI/ML platforms, or cloud data infrastructure
  • At least 2 years of experience in a senior or lead capacity
  • Ability to independently run proofs of concept involving data ingestion, transformation using SQL or Python, dashboard creation, and predictive model deployment
  • Hands-on expertise with at least two modern data stack tools, including Databricks, Snowflake, dbt, Azure Data Factory, AWS Glue, Power BI, Tableau, or Looker
  • Experience owning RFP responses and technical evaluations for deals exceeding INR 1 Cr ACV, including regulated-industry requirements
  • Strong executive communication skills for presenting technical architecture and business ROI to CIOs, CDOs, and data engineering leaders
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
  • Experience deploying or evaluating Decision Intelligence or AutoML platforms in BFSI, manufacturing, or healthcare environments
  • Prior team lead or mentoring experience in pre-sales or field engineering
  • Familiarity with APIs, Kafka, and event-driven architecture
  • Knowledge of India’s enterprise data procurement landscape, including GeM, NIC, and BFSI regulatory frameworks
  • Cloud platform certifications
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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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