Related skills
machine learning data infrastructure ai llms agent frameworks📋 Description
- Manage enterprise accounts building ML/AI capabilities.
- Drive adoption and expansion with a land-and-expand strategy.
- Partner with Sales, Services, Support, and Product to deliver outcomes.
- Own end-to-end success lifecycle from onboarding to renewal.
- Lead business reviews and stakeholder engagements to support renewals.
- Spend time with customers in SF office to collaborate.
🎯 Requirements
- 4+ years in a customer-facing enterprise CS or leadership role.
- Experience developing success plans and coordinating cross-functional resources.
- Operational rigor; manage a large book of business, track health signals, forecast consumption.
- Navigate mid-to-large organizations; drive adoption and expansion; build stakeholder relationships.
- Strong business acumen; interface with engineers, data scientists, ML leads.
- Fundamental understanding of AI, ML, LLMs, or agent frameworks.
🎁 Benefits
- Remote working within a mission-driven culture.
- Equity included.
- Comprehensive benefits package.
- Career growth opportunities in AI/ML.
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