GTM Engineer, Data & Attribution

Vaga não está no LinkedIn

🕒 Agosto 26

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $100.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 9%

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Oneleet

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2022

📋 Conformidade

🔒 Cibersegurança

☁️ SaaS

Compliance • Cybersecurity • SaaS

A Oneleet é uma plataforma SaaS de segurança e conformidade que ajuda as empresas a alcançar e manter uma postura pronta para auditoria para frameworks como SOC 2, ISO 27001, HIPAA e GDPR, enquanto fornece uma cibersegurança real e contínua. A plataforma unifica controles, políticas, coleta de evidências e ferramentas de segurança automatizadas (monitoramento de superfície de ataque, varredura de código, gerenciamento de vulnerabilidades) e combina automação com serviços especializados, como testes de penetração e vCISO, para tanto passar em auditorias quanto reduzir o risco real. A Oneleet é projetada para integrar-se aos stacks existentes de desenvolvedores e nuvem, transformando o trabalho de remediação em evidências de conformidade documentadas.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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