Senior GTM Engineer

Multiplier Technologies Private Limited

About The Position

As the GTM Data Engineer, you will be responsible for integrating the revenue stack and building and optimizing the robust and scalable data pipelines that fuel the GTM system. You will be architecting the engine that powers our sales funnel, marketing attribution, and customer health scoring, providing data-driven recommendations that help accelerate growth and improve GTM efficiency. The ideal candidate possesses the technical rigor of a Data Engineer and the strategic mindset of a GTM specialist.

Requirements

5+ years of experience and deep technical understanding of GTM systems, including Salesforce (SOQL, APIs), Marketing Automation platforms for Reverse ETL.
High proficiency in SQL and Python. Experience with dbt (Data Build Tool) and cloud warehouses (Snowflake, BigQuery, or Redshift).
Orchestration: Experience with Airflow, Dagster, or Fivetran.
API Mastery: Ability to work with REST APIs to pull data from platforms that don't have native integrations.
Proven experience building and maintaining data pipelines for GTM-focused data (leads, accounts, opportunities, bookings).
Exceptional analytical and problem-solving skills; able to move from data to insight to action.
Excellent communication and stakeholder management skills across functions and seniority levels.

Nice To Haves

Bachelor’s or Master’s degree in Marketing, technical or business-related field.

Responsibilities

Lead the management and connection of the GTM systems stack—including CRM, Sales engagement, CDP, data enrichment etc tools into a cohesive, scalable stack.
Drive system and process improvements to increase efficiency, reduce friction, and strengthen data quality.
Partner with Product, Sales, Marketing, and CS leadership to operationalize new GTM motions and ensure system support.
Translate business requirements from stakeholders into technical schemas that support GTM use cases such as 360-degree view of the customer journey creation, automated outbound sequencing and territory management.
Create seamless and scalable data integrations between all GTM tech stack components.
Design, build, and maintain scalable ELT/ETL pipelines that centralize data from disparate GTM sources into our data warehouse.
Own the "Reverse ETL" process to push actionable insights from the warehouse back into frontline tools (e.g., pushing lead scores into Salesforce or churn alerts into Slack).
Ensure data quality and observability across the GTM stack and implement processes and tools to monitor data quality, ensuring the reliability and integrity of the "Single Source of Truth" data assets.
Build and optimize dbt models to transform raw GTM data into clean, analysis-ready tables.
Collaborate with Data Science to implement predictive models for Propensity to Buy and Churn Prediction directly into the GTM workflow.