About the Role As a Pre-Sales Consultant at Rubiscape, you are the technical bridge between a prospect's data challenges and the transformative capabilities of our Decision Intelligence Platform. Working alongside Account Executives, you will drive technical discovery, craft compelling proof-of-concept demonstrations across RubiFlow, RubiSight, and RubiAI, and translate complex platform capabilities into clear business value. This role is pivotal in shortening our <90-day time-to-value promise and winning deals that displace legacy Western BI and data platforms at Fortune 500 accounts across India and global markets. Key Responsibilities · Lead technical discovery sessions with prospect data, analytics, and IT teams to surface pain points across data pipelines, reporting, and AI readiness. · Design and deliver tailored Rubiscape platform demonstrations — covering RubiFlow ETL/ELT, RubiSight dashboards, RubiAI copilot, and AutoML workflows — mapped directly to prospect use cases. · Build and present Proof of Concept (PoC) environments within agreed timelines, demonstrating 3x faster pipeline delivery and measurable business outcomes. · Develop ROI models and business case documentation that quantify 5x TCO reduction and 40% decision latency improvement for prospects in BFSI, manufacturing, healthcare, and government sectors. · Respond to technical sections of RFPs, RFIs, and security questionnaires with accurate, differentiated answers that reflect Rubiscape's multi-deployment model (SaaS, BYOC, On-Prem, Hybrid, Air-Gap). · Collaborate with Product and Engineering teams to relay competitive intelligence, feature gaps, and prospect feedback that directly shapes the Rubiscape roadmap. · Maintain demo environments, reusable PoC assets, and technical collateral to continuously improve pre-sales velocity and win rates. Requirements Requirements · 2–4 years of pre-sales, solutions consulting, or technical sales engineering experience in enterprise data, analytics, or AI/ML platforms. · Hands-on familiarity with at least two of: Databricks, Snowflake, Azure Synapse, AWS Redshift, Tableau, Power BI, or equivalent modern data stack tools. · Ability to independently build data pipelines, SQL queries, and basic ML model workflows for live demonstrations and PoC delivery. · Strong communication skills — ability to translate technical architecture into CFO-level business outcomes and present confidently to mixed audiences of data engineers and C-suite stakeholders. · Demonstrated experience responding to enterprise RFPs/RFIs and managing concurrent technical evaluations across multiple prospects. · Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Nice to Have · Exposure to Decision Intelligence, augmented analytics, or MLOps platforms in a sales or consulting context. · Experience in regulated industries such as BFSI, healthcare, or government where data sovereignty and deployment flexibility are critical evaluation criteria. · Familiarity with Zoho CRM, Salesforce, or similar CRM tooling for pipeline and activity tracking. · Knowledge of enterprise data governance frameworks (data lineage, cataloguing, RBAC) as a pre-sales differentiator.