Pre-Sales Consultant
Rubiscape · Pune, India ·
- Category
- Sales
- Experience
- 2+ years
Rubiscape · Pune, India ·
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.
· 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.
· 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.
· 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.