Own the full enterprise sales cycle, from prospecting and pipeline generation through close, building consultative relationships with senior marketing leaders and delivering net-new revenue.
Partnerize jobs
AI-powered platform for managing, tracking, and paying affiliates and other online sales partners.
10 open roles at Partnerize
Own the full enterprise sales cycle, from outbound prospecting and pipeline development to closing net-new revenue, advising senior marketing leaders and building ROI-driven cases for partnership technology.
Own planning and execution of MRC accreditation and SOC 2 audits, coordinating engineering, IT, security, and business teams to maintain audit readiness, manage evidence and remediation, and deliver compliance milestones.
Lead the Infrastructure Solutions team, developing engineers and guiding priorities, capacity, risk, and technical decisions to deliver reliable, scalable, and secure infrastructure across on-premise and cloud environments.
Build and maintain infrastructure for distributed applications, improve platform reliability and performance, and partner with development teams on system design, deployments, incident response, and continuous delivery.
Lead the business systems and AI enablement roadmap, owning Salesforce, Asana, integrations, and enterprise AI adoption while managing a small team and delivering measurable workflow improvements.
Provide customer support, training, and guidance to Partnerize clients and partners, helping them use the software effectively while triaging tickets, meeting SLAs, and escalating issues as needed.
Own end-to-end commercial contract management for EMEA and JAPAC, drafting, reviewing, negotiating, and advising on agreements while improving approval processes, contract systems, and stakeholder understanding.
Own end-to-end commercial contract management for EMEA and JAPAC, drafting, reviewing, negotiating, and advising on customer and vendor agreements while supporting global sales and customer teams.
Build backend services, data pipelines, and automation infrastructure for large-scale data systems, while developing AI-driven workflows that improve engineering and platform operations.
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