Key skills
GTM operationsCRM experienceAPIswebhooksJavaScriptSQL proficiencyAttribution/analytics platformBI tool proficiencyB2B SaaS funnelsUTM strategiesCross-functional communicationExperiment designPython scriptingGoogle Ads managementHubSpot certificationsPythonGoSQLAIETLData WarehousingAnalyticsLookerBITableauSnowflakeBigQuerySaaSCRMCommunicationSales
About this role
Oneleet is one of the fastest-growing security and compliance platforms, aiming to transform the cybersecurity and compliance industry. The GTM Engineer will own the go-to-market tech stack, designing data flows and attribution models to enhance revenue generation and provide insightful analytics for the sales team and executives.
Responsibilities:
- Own every tool in the GTM stack as the architect who decides how they connect, what data flows where, and why
- Evaluate, implement, configure, and maintain platforms including Clay, HubSpot (CRM, Marketing Hub, Operations Hub), DreamData, Google Tag Manager, Google Ads, Looker Studio, and CrazyEgg
- Build integrations using APIs, webhooks, middleware, or custom code when native connections do not exist
- Design the master data model that ensures a single source of truth across all systems
- Create documentation so the infrastructure scales beyond you
- Design and implement the entire UTM strategy and multi-touch attribution model from scratch
- Configure DreamData for B2B revenue attribution and set up Google Tag Manager with proper event tracking and data layer implementation
- Build Looker Studio dashboards that show executives exactly where pipeline and revenue originate
- Create tracking infrastructure (CrazyEgg heatmaps, GA4 events, conversion tracking) that captures every meaningful interaction
- Own data quality, enrichment workflows, lead scoring models, and the entire journey from anonymous visitor to closed deal
- Design and run experiments across the funnel A/B tests on landing pages, outbound sequence variations, lead routing optimizations, and scoring model adjustments
- Build the infrastructure that makes experimentation possible: proper tracking, clean control groups, and statistically valid measurement
- Use Clay to build enrichment and prospecting workflows, test new data sources, and scale what works into production automations
- Deliver enriched lead data, buying signals, and account intelligence that makes every sales conversation more informed
- Build dashboards and reports for executives that clearly show which channels, campaigns, and motions drive pipeline and revenue
- Sit in revenue meetings, explain what the data shows, and recommend where to invest next
Requirements:
- 3–5+ years of experience in GTM operations, revenue operations, marketing operations, or growth engineering at a B2B SaaS company, with hands-on ownership of a multi-tool tech stack
- Hands-on CRM experience (HubSpot strongly preferred) including workflow automation, custom objects, data sync, and programmable automation
- Working knowledge of APIs, webhooks, and data integration patterns you have connected platforms that were not designed to talk to each other
- Programming literacy with JavaScript (essential for Google Tag Manager and HubSpot Operations Hub) and SQL proficiency for data querying
- Experience implementing tracking and tag management (Google Tag Manager, GA4, conversion pixels, data layer configuration)
- Experience with at least one attribution/analytics platform (DreamData, Bizible, HubSpot Attribution, or similar)
- BI tool proficiency (Looker Studio, Tableau, or similar) building dashboards, not just reading them
- 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 attribution models
- Ability to design experiments with proper methodology (hypothesis, control, measurement, iteration)
- Cross-functional communication skills you can explain a data pipeline to a sales rep and an attribution model to a CEO
- Experience with Clay (workflows, enrichment, AI columns, Claygent)
- Python scripting for data manipulation and automation
- Experience with CrazyEgg or similar UX analytics tools
- Familiarity with server-side tagging and privacy-compliant tracking (GDPR)
- Google Ads campaign management and conversion optimization experience
- HubSpot certifications (Revenue Operations, Marketing Hub, Operations Hub)
- Experience at an early-stage startup where you were the first or only ops hire
- Familiarity with data warehousing concepts (BigQuery, Snowflake) and reverse ETL