XBOW is redefining the future of cybersecurity by building the world's first autonomous pentester powered by AI. As a Senior GTM Engineer, you will be the technical architect behind the hyper-scale AI Go-To-Market engine, focusing on driving the Product-Led Growth (PLG) engine and building integrations that turn product usage data into actionable sales signals.
Responsibilities:
- Architect the "Product-to-Sales" data pipeline, ensuring high-volume product signals are cleaned, routed, and surfaced to GTM teams in real-time
- Manage a multi-layered data strategy: ZoomInfo: For foundational Account/Contact firmographics and contact info. HG Insights: For deep Account technographic data and IT spend intelligence. MadKudu: To orchestrate these data points for predictive scoring and prioritization
- Design multi-step automations using Zapier, while evaluating and implementing enterprise-grade middleware like Clay, Tray.io, or Make
- Perform advanced Salesforce engineering and maintain a sophisticated "Source of Truth" within Notion for all technical schemas and GTM logic
- Act as the technical bridge between GTM Ops (Sales, Marketing, CS) and Product Leadership
Requirements:
- Deep experience with SFDC architecture/APIs and advanced Notion database management
- Expert-level knowledge of Zapier
- Must be comfortable operating in GitHub for version control and documentation
- Proven track record of managing ZoomInfo alongside HG Insights
- Experience with Clay, Tray.io, or Make is highly preferred
- Experience with Salesforce DevOps Center is an advantage
- Ability to write complex queries to extract and transform product usage data from data warehouses (Snowflake, BigQuery, or Redshift)
- Experience writing Python for data manipulation, custom API scripts, or Lambda functions to handle tasks Zapier cannot
- Experience with Composable CDP tools like Census or Hightouch to sync data warehouse insights back into Salesforce/GTM tools
- Strong understanding of REST APIs, JSON, and Webhook listeners to build non-native integrations
- Experience with data modeling and schema design to ensure long-term scalability of the GTM data lake
- Familiarity with GDPR/CCPA compliance and SOC2 requirements as they relate to handling customer and prospect data