About The Position

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Luxury Presence’s Revenue Technology team is the engine room for our go-to-market motion. Every workflow a rep runs, every deal that moves through the pipeline, and every data point leadership uses to make decisions flows through the systems this team owns. As we scale toward $100M ARR and beyond, the sophistication and reliability of that infrastructure has to scale with us. We’re looking for a Director of Revenue Technology to lead this function. You’ll own the operational health and evolution of our Salesforce instance, drive data integrity across GTM systems, and identify opportunities for automation and AI to fundamentally change how the work gets done. Over time, your remit will expand beyond Salesforce to encompass the full GTM technology ecosystem. This role reports to the VP of GTM Strategy & Operations and partners closely with our Enterprise Architect, AI Automation team, and Data Analytics team. You won’t be working in a silo. You’ll be embedded in the GTM motion, owning outcomes for the teams you serve, not just the systems you manage.

Requirements

  • 7+ years in revenue operations, revenue technology, or Salesforce-centric roles, with at least 3 years managing a team
  • Salesforce certifications required
  • Experience at high-growth companies where you’ve had to build and scale systems alongside the business
  • Track record of owning a Salesforce instance operationally and driving measurable improvements in adoption, data quality, and system reliability
  • You think like a product manager and a support leader. You ship improvements proactively, but you also know how to triage, deflect, and resolve when stakeholders need help
  • You anticipate needs rather than waiting for requests. You own outcomes for the functions you serve, not just the systems you manage
  • You collaborate effectively across teams and know when to lead, when to partner, and when to hand off
  • You’re forward-thinking about how AI and automation can radically change how the work gets done
  • Deep, hands-on Salesforce expertise: flows, validation rules, permission sets, data model decisions. You can get into the weeds, not just direct from above
  • Systems thinking: you see how tools, data, and processes connect across the full GTM motion and design solutions holistically
  • Strong data governance instincts. You build systems and habits that prevent data quality problems, not just fix them
  • Comfortable identifying where AI and automation create leverage and partnering with technical teams to implement

Responsibilities

  • Own the Salesforce instance end-to-end: system health, release management, configuration, user management, and adoption across GTM teams
  • Partner with the Enterprise Architect on architecture decisions while owning all execution and day-to-day operations
  • Maintain 99%+ system uptime and establish a structured release cadence
  • Establish and enforce data quality standards across GTM systems, including validation rules, deduplication, and hygiene processes
  • Ensure clean, reliable data flows downstream to the Data Analytics team and other stakeholders
  • Build governance frameworks that prevent data quality issues rather than just cleaning them up after the fact
  • Starting with Salesforce as the core, progressively expand operational ownership across the broader GTM tool ecosystem
  • Drive adoption, reduce redundancy, and improve rep productivity across the tools your team manages
  • Partner with the Enterprise Architect on strategic tooling decisions
  • Identify workflow automation and AI opportunities across GTM operations
  • Partner with the AI Automation team to implement solutions, measured by time saved and manual steps eliminated
  • Think forward about how AI can reduce support demand, free up capacity for shipping, and improve how the team operates
  • Build and lead a high-performing RevTech team with clear operating rhythms and performance expectations
  • Develop your people’s skills and career paths
  • Run the team like a combined product and support organization: ship improvements proactively while triaging and resolving stakeholder requests effectively
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