Related skills
b2b saas data science data labeling ml pipelines label studio📋 Description
- Own strategic customer relationships from onboarding to renewal.
- Partner with ML/data science teams to integrate Label Studio.
- Drive value by reducing labeling cost and boosting model performance.
- Support usage expansion by aligning with customer tech goals.
- Establish yourself as a trusted advisor on annotation and data curation.
🎯 Requirements
- 5+ years in customer-facing technical roles, incl. 3+ years managing relationships.
- Familiarity with ML/AI workflows, labeling, training, QA, and production.
- Hands-on experience with data labeling/annotation platforms.
- Direct experience as a data scientist, ML engineer, or MLOps in customer-facing roles.
- Strong understanding of AI/ML org dynamics and leadership goals.
- Experience in B2B SaaS, ideally AI/ML startups serving data science teams.
🎁 Benefits
- Stock options
- Comprehensive health benefits
- Strong collaborative culture
- Remote-friendly environment
- Growth opportunities
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