3+ years of experience in data analytics, data science, or GTM engineering in high-growth B2B SaaS., Hands-on experience with CRM and GTM systems like HubSpot, Clay, and ZoomInfo., Proficiency in SQL and BI tools such as Looker or Tableau., Knowledge of API integrations and scripting languages like Python or JavaScript..
Key responsibilities:
Manage data architecture, automation, and governance for GTM systems.
Automate data enrichment workflows to ensure accurate and relevant data for sales and marketing.
Build and maintain a unified data source for GTM targeting, segmentation, and territory planning.
Design and implement systems to enhance lead routing, deal tracking, and customer lifecycle workflows.
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At TRACTIAN the GTM Operations 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.
What youll do
As a GTM Data Lead at Tractian, you will architect and scale our revenue data analytics and infrastructure to supercharge our GTM engine. Your focus will be on managing a customer data lake, automating account enrichment and revenue workflows. This is a crossfunctional, highimpact role that blends data engineering, analytics, and GTM strategy with best of breed tools.
Responsibilities:
Manage the data architecture, automation, and governance for our GTM systems, with a focus on Clay, ZoomInfo, BigQuery.
Automate waterfall enrichment workflows at the company, contact, and lead level by orchestrating multiple data providers to ensure Sales and Marketing always operate on relevant and accurate data.
Build and maintain a single source of truth for GTM targeting by pulling together data from CRM, data provider enrichment, engagement, and product usage data to power segmentation, ICP scoring, and territory planning.
Designing and integrating LLMbased systems to enrich account and contact level data
Create scalable processes for lead routing, deal tracking, and customer lifecycle workflows using HubSpot workflows, APIs
Enable datadriven decisionmaking by aligning GTM analytics with executive reporting, pipeline management, and sales productivity metrics.
Partner closely with RevOps, 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.
Document and maintain clear technical processes for internal GTM systems and provide enablement for end users.
Requirements:
3+ years of experience in a technical GTM engineer, data analytics, or data science role—preferably in high growth B2B SaaS.
Handson experience with CRM and GTM systems like HubSpot, Clay, ZoomInfo, and data warehouses.
Strong experience in writing SQL and using BIreporting 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 problemsolving skills and a bias for automation and scale.
Ability to collaborate across functions and communicate technical concepts to nontechnical stakeholders.
Comfortable working autonomously in a fastpaced environment.