Principal, GTM Engineering & Architecture

Tempo Software is a trusted name in the Atlassian ecosystem, empowering organizations with innovative solutions for time management and resource planning. The role seeks a senior technical leader to architect and launch the GTM AI practice, focusing on building a unified data spine to enhance revenue workflows and predictive intelligence.

Responsibilities:

• Build the GTM Data Foundation
• Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse
• Establish identity resolution, deduplication, and source-of-truth logic across systems
• Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results
• Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation
• Implement governance, lineage, access control, and quality monitoring for GTM data assets
• Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers
• Drive Revenue Intelligence & Modeling
• Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood)
• Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability
• Design experimentation and measurement frameworks for GTM programs
• Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs)
• Build Ecosystem & Prospect Intelligence
• Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals
• Develop frameworks for ecosystem intelligence (partner influence, marketplace signals, derived demand)
• Enable real-time or near-real-time signal activation to sales and marketing teams
• Design structured data systems that power future AI-driven revenue workflows
• Lead the Practice
• Manage and direct external agency/consulting partners executing against the GTM data roadmap
• Establish architectural standards and technical review processes
• Define the build vs. buy strategy for GTM data systems
• Develop the long-term roadmap for in-house AI capability

Requirements:

• 10+ years of experience in data engineering, analytics engineering, revenue data, or related leadership roles
• Demonstrated experience standing up a GTM or revenue data function from the ground up
• Deep hands-on expertise with modern data stack tools (cloud warehouse, transformation layer, orchestration, reverse ETL)
• Advanced proficiency in SQL and Python
• Experience applying data science techniques in a GTM or revenue context
• Experience architecting data systems that power automation and AI workflows
• Strong understanding of CRM and marketing automation data models