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Posted 5 hours ago
Customer Success Business Partner
LyricCustomer Success Business Partner
Requirements
15+ years experience in supply chain data science or ML engineering, Expertise in ML/AI for supply chain prediction, Hands-on ML workflow proficiency, Experience leading technical teams, Executive presence
Skills
Machine LearningSupply ChainData Science
About the role
About the Company
Lyric is an enterprise AI platform built specifically for supply chains, offering out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, and more. The platform empowers both business and technical users with end-to-end product composability, leveraging no-code tools and custom code to build supply chain decision intelligence.
Responsibilities
- Own technical workstreams within strategic enterprise accounts, focusing on AI and ML-driven predictions like demand sensing and probabilistic planning
- Lead integrated ML-led workflows that connect predictions with optimization and execution paradigms
- Build and configure models and run experiments hands-on alongside the team
- Serve as a subject matter expert on predictions and ML for customers and internal stakeholders
- Build and lead an India-based team of data scientists, ML engineers, and OR modelers
- Partner with US/EMEA-based CSBPs for cross-regional account alignment and executive relationship management
- Translate complex ML concepts into clear business narratives for customer executives
- Identify opportunities to expand predictions use cases and surface technical feedback to product teams
Requirements
- 15+ years of experience in supply chain data science, ML engineering, or technical consulting
- Deep expertise in applying ML and AI to supply chain prediction (demand sensing, neural forecasting, probabilistic planning)
- Hands-on proficiency in end-to-end ML workflows including feature engineering, model training, and production deployment
- Strong working knowledge of supply chain planning domains (demand planning, inventory, S&OP)
- Proven experience leading and developing teams of data scientists or quantitative analysts
- Executive presence with the ability to present to C-suite stakeholders
- Ability to navigate ambiguity in a fast-moving startup environment
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Lyric · India
