Quarterly pipeline quota for partner-sourced and partner-influenced revenue, with accountability to the Head of Partnerships and alignment with Sales leadership.
Field enablement: coordinate and lead partner-led enablement sessions, AE co-sell meeting support, and target account mapping with cloud partner field teams.
Cloud co-sell operations across AWS, GCP, and Azure, POC credit and MDF submissions, IP Co-Sell registrations, and joint pipeline tracking.
Lead and strategize across partner Marketing outcomes and campaigns as well as major cloud conference and one-off event activation.
Work closely with the sales and CS organizations to ensure a strong partner story and outcome is presented and enabled for our clients and prospects
Cloud program management and Marketplace operations: manage and optimize Arizes’ listings on cloud marketplaces and partner programs
Partner QBR cadence: prepare and run quarterly business reviews with cloud hyperscaler partner teams including pipeline reporting, joint wins, and roadmap alignment.
Technology partner relationships: maintain and build active relationships with technology platform partners driving integration usage and co-marketing.
Pipeline reporting: maintain clean, accurate partner pipeline data in Salesforce and PRM tools; produce weekly partner pipeline reports for leadership.
Requirements
4–6 years of experience in technology partnerships, cloud alliances, partner operations, or business development.
Hands-on experience managing co-sell programs and partner operations with one or more cloud hyperscalers (AWS, GCP, or Azure) — including knowledge of co-sell portals, program requirements, and field engagement models.
Demonstrated track record of meeting or exceeding a pipeline quota in a partner, alliances, or BD role.
Exceptional program management skills: you can run multiple concurrent programs, meet submission deadlines, and track progress across a complex operational portfolio.
Strong understanding of the AI/ML ecosystem, including the infrastructure and tooling that ML engineering, LLMOps, and AI platform teams rely on.
Highly organized and data-driven — comfortable owning a pipeline number and reporting against it weekly.
Strong written and verbal communication skills; able to coordinate effectively with cloud partner field teams, AEs, and executive stakeholders.
Self-starter who thrives in a fast-paced, high-ownership environment. Comfortable managing ambiguity and context-switching across multiple programs.
Experience with Salesforce CRM and familiarity with PRM platforms (e.g., Suger, Crossbeam) is a strong plus.