Forward Deployed Supply Chain Engineer (India)

About this role

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Skills you'll use

What you'll do

• Deploy Decision Intelligence — End to End
• Own customer implementations from discovery through go-live — leading blueprinting sessions, technical design workshops, and build-in-public working sessions with customer stakeholders, turning abstract supply chain problems into concrete logic and model structures
• Translate messy, real-world supply chain constraints — network trade-offs, demand volatility, inventory risk, fulfillment complexity — into composable, AI-native solutions using Lyric's full platform stack: Optimization Notes, Prediction Notes, Green Notes, and Next Gen App UIs
• Build at the Frontier
• Get hands-on daily — writing SQL and Python, configuring business logic, and rapidly prototyping from customer pain point to working model; troubleshoot edge cases, validate outputs, and own the technical integrity of everything you deploy
• Partner with Product and Engineering when the platform needs to go further — you're the person in the field who knows exactly where the edges are and why they matter
• Multiply the Team
• Mentor junior engineers, turn recurring field challenges into reusable design patterns and accelerators, and close out every project with a documented customer story — quantified outcomes and a short demo that captures what was built and the value it unlocked
• Act as a critical feedback loop for Product and Engineering — what you encounter in the field directly shapes what Lyric builds next
• Apply AI tools actively across every engagement — using LLM-assisted coding, automated documentation, and ML-powered workflows to accelerate delivery and move customers from reactive, siloed planning to autonomous decision-making

Who can apply

• Apply AI tools actively across every engagement — using LLM-assisted coding, automated documentation, and ML-powered workflows to accelerate delivery and move customers from reactive, siloed planning to autonomous decision-making
• Continuously experiment with how new AI/ML capabilities — probabilistic forecasting, anomaly detection, AI-assisted planning — can be embedded into customer operations, raising the bar on what a forward deployed engineer can build
• 8–12+ years in supply chain consulting, professional services, or SaaS delivery — with deep, hands-on expertise in at least one of the two domain tracks above
• A portfolio of complex, enterprise-grade supply chain solutions you have personally architected and delivered — not just managed
• Deep, practical knowledge of at least one core discipline — Network Optimization, S&OP, Demand Planning, Inventory Management, or Production Scheduling — and fluency in the mathematical models that power them
• Proficiency in Python and/or SQL: you write, debug, and optimize the data transformation and modeling logic that underpins a customer's supply chain planning process
• The ability to translate dense technical concepts for a C-suite audience and translate ambiguous business requirements into precise technical architecture — often in the same meeting
• You've worked with legacy planning tools — SAP IBP, Kinaxis, o9, Blue Yonder — and can articulate with precision why a composable, AI-native approach creates durable value

About Lyric

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