Responsibilities

• Design and build AI-powered marketing capabilities into our systems, from generative AI use cases to predictive scoring and intent-based automation, that accelerate the intake-to-conversion journey.
• Serve as the technical owner of how marketing systems integrate with one another — proactively catching where data breaks or logic conflicts, and implementing the architectural solutions needed to evolve the ecosystem to support business growth.
• Build and connect an ecosystem that accelerates customer journeys through personalization across the funnel — leveraging behavioral, product, and intent signals to maximize acquisition, conversion, and expansion
• Turn performance data and business requirements into architecture and process improvements that shorten planning cycles and improve marketing ROI.
• Partner cross-functionally with Lifecycle, Marketing Analytics, Sales Ops, and other technical teams to align system architecture with business needs — representing the technical point of view in planning and governance conversations.
• Perform solution architecture reviews and serve as a critical advisor on technical design decisions — flagging trade-offs and ensuring alignment across systems, teams, and outcomes
• Build and own a centralized marketing hub spanning the entire execution lifecycle: budget allocation and planning, campaign execution, and the feedback loop that turns performance insights into faster planning cycles.

Requirements

• 8+ years of experience in MarTech, with demonstrated ownership of enterprise-scale system architecture — not just implementing tools, but architecting how data, process, and strategy connect across the full marketing lifecycle.
• Hands-on experience designing and building AI-powered marketing capabilities, from generative AI use cases to predictive scoring and intent-based automation, that solve real marketing problems.
• Deep experience architecting HubSpot, Salesforce, and in-house systems at scale, including lead scoring, lifecycle automation, customer journey and personalization, campaign/opportunity data models, and cross-system data association.
• Strong understanding of marketing budgeting, planning cycles, and ROI measurement — able to connect spend data directly to performance outcomes through architectural decisions.
• Experience building scalable integrations — using APIs and middleware — across marketing systems (e.g., HubSpot, Salesforce, NetSuite, Coupa).
• A proven track record contributing to vendor evaluation and platform implementation for enterprise organizations.
• A natural cross-functional partner — able to sit with cross-functional teams, translate their requirements into system architecture, and be the technical advisor they trust.
• Excellent communication and documentation skills.