GTM Engineer, Data & Attribution

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $100k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oneleet

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

📋 Compliance

🔒 Cybersecurity

☁️ SaaS

Compliance • Cybersecurity • SaaS

Oneleet is a security and compliance SaaS platform that helps companies achieve and maintain audit-ready posture for frameworks like SOC 2, ISO 27001, HIPAA and GDPR while delivering real, continuous cybersecurity. The platform unifies controls, policies, evidence collection, and automated security tooling (attack surface monitoring, code scanning, vulnerability management) and pairs automation with expert services such as penetration testing and vCISO to both pass audits and reduce actual risk. Oneleet is designed to integrate with existing developer and cloud stacks and to turn remediation work into documented compliance evidence.

📋 Description

• Own the data backbone of Oneleet’s go-to-market motion from first ad click to closed-won deal • Gather, analyze, interpret, and visualize marketing and sales data • Design, build, and manage the BigQuery data pipeline unifying HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and website data • Document the pipeline so it scales beyond the role and survives tool changes • Maintain working knowledge of browsers, data transmission, cookies, JavaScript, tracking pixels, and server-side GTM • Investigate and resolve cross-platform data discrepancies and explain causes to stakeholders • Configure and continuously refine Dreamdata to model the prospect journey from anonymous visitor to closed-won • Use Dreamdata insights to identify channels and campaigns generating pipeline and inform budget and channel decisions • Build and maintain executive-facing Looker/Looker Studio dashboards for spend, leads, meetings, pipeline, and closed-won by channel • Ensure dashboard reporting logic remains consistent with the attribution model and supports campaign/channel drill-downs • Design and run an ICP-grounded ABM strategy using Clay to enrich and score accounts with firmographic, intent, and behavioral signals • Leverage AI to personalize messaging at scale for improved reply rates • Work alongside the GTM Engineer and partner with sales and marketing

🎯 Requirements

• 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) • 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.) • Hands-on HubSpot experience (CRM, Marketing Hub, Operations Hub): workflows, custom objects, data sync • BI tool proficiency (Looker / Looker Studio, Tableau, or similar); building dashboards, not just reading them • Working knowledge of APIs, webhooks, and data integration patterns across platforms not designed to talk to each other • 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 • Understanding of ABM fundamentals: ICP definition, account scoring, and personalized outbound at scale • Cross-functional communication skills; able to explain tracking discrepancies and attribution models clearly • Experience at an early-stage startup as the first or only data/ops hire (nice-to-have) • Experience with Clay (workflows, enrichment, AI columns, Claygent) (nice-to-have) • Python scripting for data manipulation and automation (nice-to-have) • Experience with PostHog or similar product analytics tools (nice-to-have) • Familiarity with reverse ETL tooling and broader data warehousing concepts (nice-to-have) • HubSpot certifications (Revenue Operations, Marketing Hub, Operations Hub) (nice-to-have) • Google Ads campaign management and conversion optimization experience (nice-to-have)

🏖️ Benefits

• Comprehensive health & wellness benefits • 20 days PTO per year, plus 8 floating holiday • Remote work culture • Team off-sites in stunning places (Amsterdam, Italy, etc.) • Competitive compensation & equity