GTM Engineer, Data & Attribution

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the data infrastructure that supports Oneleet’s market entry strategy from the initial ad interaction to a successfully closed deal.

• Collect, analyze, interpret, and present marketing and sales data effectively.

• Design, develop, and oversee the BigQuery data pipeline, integrating data from HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and the website.

• Document the data pipeline to ensure scalability beyond this role and adaptability to tool changes.

• Maintain a solid understanding of browsers, data transmission, cookies, JavaScript, tracking pixels, and server-side GTM.

• Investigate and resolve discrepancies in cross-platform data while providing explanations to stakeholders.

• Configure and continuously enhance Dreamdata to model the prospect journey from anonymous visitor to a closed-won deal.

• Utilize insights from Dreamdata to identify high-performing channels and campaigns, influencing budget and channel strategies.

• Create and manage executive-level Looker/Looker Studio dashboards for expenditure, leads, meetings, pipeline, and closed-won by channel.

• Ensure that dashboard reporting logic aligns with the attribution model and allows for detailed campaign/channel analysis.

• Develop and implement an ABM strategy centered around the Ideal Customer Profile (ICP) using Clay to enrich and score accounts based on firmographic, intent, and behavioral signals.

• Utilize AI to personalize messaging at scale, enhancing response rates.

• Collaborate closely with the GTM Engineer and partner with sales and marketing teams.

⛳️ Requirements

• A minimum of 5 years of experience in GTM operations, revenue operations, marketing operations, or analytics engineering within a B2B SaaS environment, with direct responsibility for marketing/sales data infrastructure.

• A scientific approach to experimentation, including hypothesis creation and testing.

• Enthusiasm for exploring new platforms that facilitate automation and improve channel performance.

• Ability to distill findings into actionable insights.

• Strong SQL capabilities and hands-on experience in building and maintaining pipelines in BigQuery or a similar data warehouse.

• In-depth knowledge of the workings of browsers, cookies, JavaScript, and tracking pixels.

• Ability to diagnose discrepancies in data across platforms rather than merely identifying their existence.

• Practical experience with Google Tag Manager, including server-side GTM and data layer setup.

• Familiarity with Dreamdata or similar B2B attribution platforms (e.g., Bizible, HubSpot Attribution).

• Hands-on experience with HubSpot (CRM, Marketing Hub, Operations Hub), including workflows, custom objects, and data synchronization.

• Proficiency in BI tools (Looker/Looker Studio, Tableau, or similar); skilled in building dashboards, not just interpreting them.

• Working knowledge of APIs, webhooks, and data integration methods for platforms not originally designed for interoperability.

• Strong understanding of B2B SaaS funnels, buyer journeys, and revenue metrics (MQL, SQL, pipeline, win rate, CAC, LTV).

• Experience in designing and implementing UTM strategies and multi-touch attribution models.

• Knowledge of ABM principles: defining ICP, account scoring, and personalized outreach at scale.

• Excellent cross-functional communication abilities, capable of clearly explaining tracking discrepancies and attribution models.

• Prior experience in an early-stage startup as the first or sole data/ops hire (preferred).

• Familiarity with Clay (workflows, enrichment, AI columns, Claygent) is a plus.

• Proficiency in Python for data manipulation and automation is an advantage.

• Experience with PostHog or similar product analytics tools is desirable.

• Knowledge of reverse ETL tools and broader data warehousing concepts is beneficial.

• HubSpot certifications (Revenue Operations, Marketing Hub, Operations Hub) are a plus.

• Experience in managing Google Ads campaigns and optimizing conversions is advantageous.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• 20 days of paid time off per year, plus 8 floating holidays.

• A remote work culture.

• Team off-sites in beautiful locations (e.g., Amsterdam, Italy).

• Competitive salary and equity options.