Technical Product Manager

• Lead modernization of Xero’s marketing data platform
• Drive integration of artificial intelligence across data products
• Bridge complex engineering systems and business needs
• Ensure foundational architecture supports data science and analytics
• Dismantle data silos and replace legacy frameworks with scalable, real-time data solutions
• Translate commercial business strategies into actionable, deliverable requirements
• Balance long-term architectural transformation with incremental, high-value product deliveries
• Upgrade a fifteen-year-old architectural framework into a modern data ecosystem
• Unify fragmented and duplicated data sources into a single trusted source of truth
• Collaborate with data engineering and applied science leads to embed AI capabilities into frontline workflows
• Partner with sales, marketing, and customer support units to deliver immediate reporting enhancements

Lead Technical Product Manager

• Lead modernization of the marketing data platform
• Drive artificial intelligence integration across data products
• Bridge complex engineering systems and business needs
• Ensure foundational architecture supports data science and analytics
• Dismantle data silos and replace legacy frameworks with scalable, real-time data solutions
• Collaborate with commercial stakeholders to translate business strategies into actionable requirements
• Balance long-term architectural transformation with incremental, high-value product deliveries
• Enable teams to make data-driven decisions
• Navigate and upgrade a fifteen-year-old architectural framework into a modern data ecosystem
• Unify fragmented and duplicated data sources into a single trusted source of truth
• Collaborate with data engineering and applied science leads to embed AI capabilities into frontline workflows
• Partner with sales, marketing, and customer support units to deliver reporting enhancements

• Lead modernization of the marketing data platform
• Drive integration of artificial intelligence across data products
• Bridge complex engineering systems and business needs
• Ensure foundational architecture supports sophisticated data science and analytics
• Dismantle data silos and replace legacy frameworks with scalable, real-time data solutions
• Collaborate with commercial stakeholders to translate business strategies into actionable, deliverable requirements
• Balance long-term architectural transformation with incremental, high-value product deliveries
• Navigate and upgrade a fifteen-year-old architectural framework into a modern data ecosystem
• Unify fragmented and duplicated data sources into a single trusted source of truth
• Collaborate with data engineering and applied science leads to embed AI capabilities into frontline workflows
• Partner with sales, marketing, and customer support units to deliver immediate reporting enhancements