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Lyric is an enterprise AI platform built specifically for supply chains, offering out-of-the-box AI solutions for network optimization, inventory allocation, route scheduling, demand planning, and more, combined with a platform-first approach that empowers both business and technical users through composable workflows.
You will lead Lyric's technical customer engagement practice in India as a senior, deeply technical role. This position owns in-region executive customer relationships, partnering with US or EMEA-based Customer Success Business Partners for cross-regional account alignment. Your core contribution is deep predictions expertise: you and your team will own ML workstreams within strategic customer engagements, drive technical value realization, and position Lyric as a frontier partner for AI-driven supply chain planning.
Key Responsibilities:
• Own technical workstreams within strategic enterprise accounts, focusing on AI/ML-driven predictions use cases including demand sensing, forecasting, probabilistic planning, and dynamic optimization
• Lead integrated, composed ML-led workflows that combine predictions with optimization, planning, and execution paradigms
• Build and configure models, run experiments, and validate results hands-on alongside your team when needed
• Serve as Lyric's subject matter expert on predictions and ML for customers and internal stakeholders
• Translate complex ML concepts and outputs into clear business narratives for customer executives and planning leaders
• Build and lead an India-based team of predictions practitioners (data scientists, ML engineers, OR modelers), providing technical mentorship, coaching, and performance management
• Own in-region executive customer relationships, partnering with US/EMEA CSBPs for cross-regional account planning and commercial governance
• Participate in quarterly business reviews, success planning sessions, and governance meetings
• Maintain strong relationships with customer supply chain engineers, data science teams, and planning leads
• Ensure value realization on predictions workstreams and communicate measurable outcomes
• Identify opportunities to expand predictions use cases within existing accounts
• Monitor customer health signals related to model performance, adoption, and AI-driven capabilities
• Surface actionable technical feedback to product and engineering teams
• Partner with Professional Services during onboarding and scaling
Requirements:
• 15+ years of experience in supply chain data science, ML engineering, technical consulting, or related field with strong quantitative foundation
• Deep expertise in applying machine learning and AI to supply chain prediction use cases: demand classification and sensing, statistical and neural forecasting, probabilistic planning, dynamic pricing or optimization
• Hands-on proficiency in end-to-end ML workflows including feature engineering, model training (supervised, unsupervised, neural networks, AutoML), deployment, and monitoring in production environments
• Strong working knowledge of supply chain planning domains (demand planning, inventory, S&OP, fulfillment) sufficient to engage credibly with technical and business audiences
• Demonstrated experience leading and developing teams of data scientists, ML engineers, or quantitative analysts
• Executive presence: comfortable presenting to senior customer stakeholders, moderating technical panels, and representing Lyric in high-visibility settings
• Excellent communication skills, able to explain complex model behavior and results to supply chain engineers and C-suite executives with equal clarity
• Highly adaptable and comfortable navigating ambiguity in a fast-moving, startup environment
• Proven ability to identify, quantify, and communicate business impact from AI and ML initiatives
