The Role
Design, build, and scale GTM data pipelines, lakes, and analytics to support sales, marketing, and customer success. Ensure data integrity across GTM systems, implement batch and streaming ingestion, develop enrichment/LLM pipelines, create semantic models in dbt, and automate revenue workflows and ICP/territory scoring.
Summary Generated by Built In
Why join us
GTM Engineering Team at TRACTIAN
What you'll do
Responsibilities:
Requirements:
Compensation & Benefits
TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.
At TRACTIAN the GTM Engineering team is a global department that supports Tractian GTM teams across the US, Brazil, and Mexico. We are a foundational team that is building the data infrastructure, systems, and processes that support our GTM team and directly impact our customer experience.
As a Data Engineer (GTM) at Tractian, you will architect, manage, and scale our revenue analytics and systems infrastructure to supercharge GTM execution. Your focus will be on ensuring data integrity across systems, building reliable data pipelines for account enrichment, automating revenue workflows, and delivering actionable insights across the sales, marketing, and customer success functions. This is a cross-functional, high-impact role that blends engineering, analytics, and GTM strategy.
- Architect and manage data pipelines and infrastructure for GTM systems, leveraging Clickhouse, BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.
- Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.
- Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments.
- Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting.
- Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.
- Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.
- Partner closely with RevEng, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.
- Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.
- Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.
- 3+ years of experience in a technical GTM Systems, Data Engineering, or Analytics engineering role, preferably in high growth B2B SaaS.
- Hands-on experience with CRM and GTM systems like HubSpot, Clay, ZoomInfo, and other data platforms.
- Strong experience in writing SQL and using BI/reporting tools like Looker, Tableau, or HubSpot Reports.
- Comfort with API integrations and at least one scripting language (Python, JavaScript) to automate and connect tools.
- Experience managing large datasets and transforming GTM insights into tactical recommendations.
- Excellent problem-solving skills and a bias for automation and scale.
- Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders.
- Comfortable working autonomously in a fast-paced environment.
- Aligns with our mission and values of Tractian.
- Competitive salary and stock options
- 30 days of paid annual leave
- Education and courses stipend
- Earn a trip anywhere in the world every 4 years
- R$1.035/month for meals allowance
- Health plan with national coverage and without coparticipation
- Dental Insurance: we help you with dental treatment for a better quality of life.
- Wellhub and Sports Incentive: R$300/mo extra if you practice activities
Skills Required
- 3+ years in GTM Systems, Data Engineering, or Analytics Engineering
- Experience with CRM and GTM systems like HubSpot, Clay, ZoomInfo
- Strong SQL skills and experience with BI/reporting tools (Looker, Tableau, HubSpot Reports)
- Proficiency with API integrations and at least one scripting language (Python or JavaScript/Node.js)
- Experience managing large datasets and translating GTM insights into tactical recommendations
- Problem-solving orientation with a bias for automation and scalable solutions
- Ability to collaborate cross-functionally and communicate technical concepts to non-technical stakeholders
- Comfort working autonomously in a fast-paced environment
- Experience or familiarity with streaming and batch ingestion tools (Apache Beam, Kafka, Pub/Sub) and orchestration (Airflow)
- Experience with analytical/data warehouse technologies and modeling (Clickhouse, BigQuery, dbt, cloud storage, star/snowflake schemas)
- Familiarity with LLM-based enrichment pipelines for account/contact augmentation
- Experience in high-growth B2B SaaS environments
- Alignment with company mission and values
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tractian is a machine-intelligence company delivering integrated hardware, cloud software and AI to prevent machine failures and boost industrial uptime. Their offering combines vibration and condition sensors, TracOS maintenance-management software, and AI-driven analytics to enable predictive maintenance, energy optimization and operational visibility for factories and asset-heavy operations globally.
