GTM Data & Attribution Engineer (B2B SaaS)

Location: US/EU - Remote; global hiring where hirify.global can legally engage talent directly or via an EOR partner

Salary: $100,000–$160,000 annual base salary, plus equity and benefits; compensation is benchmarked to the candidate's local market.

Company

hirify.global is a cybersecurity and compliance platform helping companies build, manage, and monitor security programs and achieve standards such as SOC 2 and ISO 27001.

What you will do

• Design, build, manage, and document BigQuery pipelines integrating HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and website data.
• Investigate tracking and attribution discrepancies across platforms, explaining the impact of browsers, cookies, JavaScript, pixels, and server-side GTM.
• Configure and refine Dreamdata to model the journey from anonymous visitor to closed-won deal and inform channel and budget decisions.
• Build executive-facing Looker or Looker Studio dashboards covering spend, leads, meetings, pipeline, and closed-won revenue.
• Design and run an ABM strategy using Clay enrichment, account scoring, firmographic, intent, and behavioral signals.
• Use AI to personalize outbound messaging at scale and improve reply rates.

Requirements

• 5+ years of experience in GTM operations, revenue operations, marketing operations, or analytics engineering at a B2B SaaS company.
• Strong SQL skills and hands-on experience with BigQuery or a comparable data warehouse.
• Deep knowledge of browsers, cookies, JavaScript, tracking pixels, Google Tag Manager, server-side GTM, and data layers.
• Experience with Dreamdata or a comparable B2B attribution platform, HubSpot CRM and Marketing/Operations Hubs, BI dashboards, APIs, webhooks, and data integrations.
• Strong understanding of B2B SaaS funnels, buyer journeys, revenue metrics, UTM strategies, multi-touch attribution, and ABM fundamentals.
• Ability to work remotely from a region where hirify.global can legally engage the candidate directly or through an EOR partner.

Nice to have

• Experience as the first or only data or operations hire at an early-stage startup.
• Clay workflows, enrichment, AI columns, or Claygent experience.
• Python scripting, PostHog, reverse ETL, data warehousing, HubSpot certifications, or Google Ads campaign management experience.

Culture & Benefits

• Remote-first work culture with global hiring.
• Comprehensive health and wellness benefits.
• 20 days of paid time off plus 8 floating holidays per year.
• Autonomy, personal accountability, and impact-oriented work.
• Team off-sites in locations including Amsterdam and Italy.
• Competitive compensation and equity.

Hiring process

• Applications may be reviewed using automated and AI-assisted tools, with final hiring decisions made by a human reviewer.
• U.S.-based candidates undergo E-Verify employment eligibility confirmation.