Liveramp Template

Live Ramp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the Live Ramp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. Live Ramp is headquartered in San Francisco, California, with offices worldwide.

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• Define and execute the strategy, architecture, and multi-year roadmap for Live Ramp’s GTM technology ecosystem, spanning marketing, sales, Quote-to-Cash, contracting, customer success, data, and AI.

• Establish scalable integration patterns, systems of record, data ownership, and governance across Salesforce, Revenue Cloud/CPQ, Marketo, Outreach, Gong, Ironclad/CLM, ERP and finance systems, customer success platforms, middleware, and enterprise data platforms.

• Provide hands-on technical leadership for Salesforce, including architecture reviews and guidance across Apex, Lightning Web Components, Flow, SOQL, APIs, security, automation, and data architecture.

• Lead the architecture and evolution of Salesforce CPQ and Revenue Cloud Advanced, supporting subscriptions, usage-based and token-based pricing, ramp deals, multi-year agreements, amendments, renewals, contracted pricing, approvals, quoting, contracting, assets, and revenue processes.

• Review and challenge technical designs, integrations, automation, code, and implementation-partner recommendations to ensure solutions are scalable, secure, supportable, and aligned with business outcomes.

• Partner with Sales, Marketing, Revenue Operations, Deal Desk, Finance, Legal, Customer Success, Product, Data, Security, and Engineering to translate complex business requirements into prioritized technology solutions.

• Establish a scalable production-support operating model covering incident management, triage, prioritization, escalation paths, SLAs, ownership, runbooks, and knowledge management.

• Lead response to high-severity incidents and ensure root-cause analyses produce corrective and preventive actions.

• Implement proactive monitoring and alerting for critical integrations, automations, batch processes, data flows, and business workflows.

• Define and report operational metrics, including incident volume and severity, response and resolution times, recurring incidents, system availability, and support backlog.

• Drive integration observability, reconciliation, data quality, and reduction of unnecessary duplication across GTM platforms.

• Identify high-value opportunities to embed AI and intelligent automation into marketing, selling, quoting, contracting, renewals, customer intelligence, engineering productivity, testing, documentation, and production support.

• Partner with Security, Data, and Architecture teams to establish appropriate AI governance, access controls, and data-use standards.

• Establish engineering standards for development, automated testing, CI/CD, release management, monitoring, environment strategy, security, compliance, and data governance.

• Build reusable technical frameworks and patterns that improve delivery velocity, release quality, platform stability, and production reliability.

• Lead, develop, and mentor Salesforce engineers, developers, administrators, architects, and technical leads while creating clear accountability across roadmap delivery and production support.

• Manage implementation partners, consultants, and technology vendors while maintaining strong internal technical ownership.

• Establish success measures for seller productivity, deal velocity, automation, platform adoption, data quality,…