Oneleet GTM AI Engineer - Data & Attribution owns the data pipeline and analytics for marketing and sales data integration. Responsible for building and maintaining data pipelines in BigQuery and synthesizing funnel insights across platforms.
Responsibilities
Data gathering & Pipeline Ownership: Design, build, and manage our data pipeline in BigQuery, unifying data from HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and the website into one reliable source of truth. Document the pipeline so it scales beyond you and survives tool changes.
Attribution & Tracking: Maintain deep, working knowledge of how browsers work, how data is sent, and how cookies, JavaScript, and (server-side) GTM are used. Investigate and resolve discrepancies between platforms and explain why to stakeholders, not just report the gap.
Dreamdata & Revenue Attribution: Configure and continuously refine Dreamdata to model the full prospect journey, anonymous visitor to closed-won. Use Dreamdata to determine which channels and campaigns are actually generating pipeline. Partner with sales and marketing to translate Dreamdata insights into budget and channel decisions.
Visualization & Reporting: Build and maintain a clear, executive-facing dashboard (Looker/Looker Studio) showing the performance by channel: spend, leads, meetings, pipeline, and closed-won. Ensure dashboards answer “where is revenue actually coming from?” at a glance, with the ability to drill into any channel or campaign. Keep reporting logic consistent with the underlying attribution model so numbers don’t silently diverge.
ABM with Clay & AI: Design and run an ABM strategy grounded in our ICP, using Clay to enrich and score accounts, layering in firmographic, intent, and behavioral signals. Leverage AI to personalize messaging at scale in a way that actually gets replies.
Qualification
5+ years in GTM operationsScientific mindset of experimentationDeep understanding of how browsersHands-on HubSpot experience (CRMWorking knowledge of APIs
Required
5+ years 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 of experimentation, creating and testing hypotheses.
Love of working on new platforms that help automate and enhance channel performance.
Knowledge of how to simplify and act on findings.
Strong SQL skills and hands-on experience building and maintaining pipelines in BigQuery (or a comparable warehouse).
Experience building GTM relevant Claude skills that scale.
Deep understanding of how browsers, cookies, JavaScript, and tracking pixels work. Able to diagnose why numbers differ across platforms, not just flag that they do.
Hands-on experience with Google Tag Manager, including server-side GTM and data layer configuration.
Experience with Dreamdata or a comparable B2B attribution platform (Bizible, HubSpot Attribution, etc.).
