GTM AI Engineer - Data & Attribution
$100k - $160k • Remote • US/EU - Remote • FullTime
Posted 1mo ago
Job Location
US/EU - Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Engineer
About the job
Oneleet is seeking a GTM AI Engineer - Data & Attribution to own the data backbone of our go-to-market strategy. This role involves gathering, analyzing, interpreting, and visualizing marketing and sales data, working closely with the GTM Engineer to synthesize funnel insights. You will be responsible for building and maintaining data pipelines that consolidate information from various platforms into a single source of truth, ensuring data accuracy and providing clear explanations for discrepancies. The goal is to transform clean data into actionable dashboards for executives and enhance account intelligence for ABM and outbound efforts.
Responsibilities
- Design, build, and manage the data pipeline in BigQuery, unifying data from HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and the website.
- Document the data pipeline to ensure scalability and resilience against tool changes.
- Maintain a deep understanding of browser functionality, data transmission, and the use of cookies, JavaScript, and server-side GTM for attribution and tracking.
- Investigate and resolve data discrepancies between platforms, providing clear explanations to stakeholders.
- Configure and refine Dreamdata to model the prospect journey and identify revenue-generating channels and campaigns.
- Partner with sales and marketing to translate Dreamdata insights into strategic budget and channel decisions.
- Build and maintain executive-facing dashboards using Looker/Looker Studio to visualize channel performance, including spend, leads, meetings, pipeline, and closed-won deals.
- Ensure reporting logic remains consistent with the attribution model to prevent data divergence.
- Design and execute an ABM strategy using Clay for account enrichment and scoring, incorporating firmographic, intent, and behavioral signals.
- Leverage AI to personalize messaging at scale for improved engagement.
Requirements
- 5+ years of experience in GTM operations, revenue operations, marketing operations, or analytics engineering at a B2B SaaS company, with hands-on ownership of marketing/sales data infrastructure.
- Scientific mindset for experimentation, hypothesis creation, and testing.
- Experience working with new platforms to automate and enhance channel performance.
- Ability to simplify findings and translate them into actionable insights.
- Strong SQL skills and hands-on experience building and maintaining pipelines in BigQuery or a comparable data warehouse.
- Experience building scalable GTM-relevant Claude skills.
- Deep understanding of how browsers, cookies, JavaScript, and tracking pixels work, with the ability to diagnose cross-platform data discrepancies.
- Hands-on experience with Google Tag Manager, including server-side GTM and data layer configuration.
- Experience with Dreamdata or a comparable B2B attribution platform (e.g., Bizible, HubSpot Attribution).
- Hands-on experience with HubSpot (CRM, Marketing Hub, Operations Hub), including workflows, custom objects, and data sync.
- Proficiency in BI tools such as Looker/Looker Studio, Tableau, or similar, with experience building dashboards.
- Working knowledge of APIs, webhooks, and data integration patterns.
- Deep understanding of B2B SaaS funnels, buyer journeys, and revenue metrics (MQL, SQL, pipeline, win rate, CAC, LTV).
- Experience designing and implementing UTM strategies and multi-touch attribution models.