Responsibilities
- Own the day-to-day operational engine of cloud partnerships - driving co-sell pipeline, managing cloud programs, and running the partner operational cadence across AWS, Google Cloud, Microsoft Azure, NVIDIA and AI ISV Partners.
- Be accountable for sourcing and influencing partner revenue with a quarterly pipeline target.
- Coordinate and lead partner-led enablement sessions, AE co-sell meeting support, and target account mapping with cloud partner field teams.
- Manage cloud co-sell operations across AWS, GCP, and Azure, including 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 sales and customer success organizations to ensure a strong partner story and outcome is presented to clients and prospects.
- Manage and optimize Arize’s listings on cloud marketplaces and partner programs.
- Prepare and run quarterly business reviews (QBRs) with cloud hyperscaler partner teams including pipeline reporting, joint wins, and roadmap alignment.
- Maintain and build active relationships with technology platform partners driving integration usage and co-marketing.
- 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: ability to 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.
Nice to Have
- Prior experience working directly at or with AWS, Google Cloud, or Microsoft Azure in a partner, alliances, or field role.
- Hands-on experience with cloud marketplace programs: AWS ISV Accelerate, MCCP, GCP Build, Azure IP Co-Sell.
- Familiarity with AI/ML observability, MLOps, LLMOps, or AI agent frameworks.
- Experience directing or collaborating with BDR/SDR resources in a partner-influenced outbound motion.
- Background managing MDF cycles, invoice submissions, and cash claim processes with cloud hyperscalers.