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Maharashtra, India
Remote only
About the Company
Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions that could impact the bottom line. Powerful algorithms and AI can address these problems, yet most organizations struggle to leverage supply chain AI at scale. The current SCM technologies are either rigid, limited-scope point solutions or custom solutions built in-house, which demand immense expertise and investment.
That is…until now.
Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds:
Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus
A platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-code tools, their own code, or even forking our code to build and refine supply chain decision intelligence
With Lyric, enterprises no longer have to choose between flexibility and speed, they get both.
The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again.
Today, a growing number of Fortune 500 companies, including Smurfit WestRock, Estée Lauder, Coca-Cola, and more, are innovating on their own terms with Lyric. We can’t wait to see what our customers, both current and future, are empowered to build with us next. Come build with us!
We're problem solvers and optimists who are genuinely, unapologetically obsessed with math for supply chains. We believe that the best decisions are powered by algorithms — and that the world's most complex supply chains deserve better than the legacy tools they've been stuck with for decades. We move fast. Like, #mach10 fast. If you thrive in an environment where ambiguity is a feature, speed is a value, and the work actually matters — you'll fit right in.
The era of siloed supply chains is over. Planning cycles that once took weeks now run in minutes. Decisions that once required armies of analysts can be augmented — or automated — with the right intelligence. Lyric is building the platform that makes this possible: an AI-native decision intelligence platform designed to dismantle functional silos and replace them with composable, connected solutions that let global enterprises move at the speed of thought.
Think of this less as a traditional implementation consultant role and more in the spirit of a Forward Deployed Supply Chain Engineer — embedded with customers, building in the field, and deploying decision intelligence directly into the heart of their operations. You're the bridge between Lyric's platform capabilities and mission-critical execution — part solution architect, part AI practitioner, part hands-on engineer. You're not handing over a configured system and walking away. You're working alongside customer teams until the right decisions are happening faster, smarter, and with less friction than before.
This is a senior, customer-facing role. You'll translate real-world supply chain complexity — network design trade-offs, demand volatility, inventory risk, fulfillment constraints — into composable, AI-native solutions on Lyric's platform, owning that translation end to end from the first discovery session to go-live and beyond. You won't be recommending strategies from a slide deck. You'll be turning "what if" into "here's how" — using Lyric's composable architecture to build everything from probabilistic simulation models to ML-powered planning workflows.
Our delivery teams are lean by design. Every engineer on the PS team is expected to be deeply hands-on — leading customers through complex decisions while personally building on the platform. If you find the architecture and the implementation interesting, and you want your work to directly change how a Fortune 500 company makes supply chain decisions — this is the role.
You'll partner closely with Customer Success Business Partners and Lyric's Product and Engineering teams, bringing deep expertise in at least one of our two core practice areas: Modeling & Scenario Analysis or Planning & Execution — spanning both traditional best-practice use cases and frontier AI/ML applications.
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
Lead with AI
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
Candidates should have strong working knowledge in at least one of the following domains. In both, we move beyond static snapshots toward live, high-fidelity representations of a global supply chain.
Modeling & Scenario Analysis
You'll help customers move from "what happened?" to "what if?" and "what's next?" — architecting supply chain digital twins that let leaders stress-test their networks against real-world volatility. Using Lyric's Network Optimization and Simulation capabilities, you'll deliver solutions across network redesign, RCCP, production sequencing, vessel scheduling, and capacity expansion, among others. Frontier use cases push further: probabilistic modeling that replaces single-point forecasts with distribution-based simulations, resilience mapping that identifies single points of failure and models the impact of disruptions, and sustainability optimization that embeds carbon and ESG constraints directly into network design logic.
Planning & Execution
You'll replace rigid, sequential planning — Demand → Supply → Logistics — with concurrent, connected workflows where a change in a shipping schedule ripples instantly through to inventory targets and replenishment logic. Deploying capabilities like Optimal Stock Targets and the Supply Planning Optimizer, you'll embed science directly into operational execution. Frontier use cases include AI-assisted demand sensing that ingests external signals to refine short-term forecasts autonomously, dynamic rebalancing that triggers optimized inventory transfers across multi-echelon networks, and anomaly detection that doesn't just alert a human to a problem — it proposes the best corrective action based on cost and service trade-offs.
We're looking for engineers who are as comfortable whiteboarding a network optimization model as they are debugging a Python script before a customer go-live — people who bring deep domain expertise, a hands-on builder mentality, and an AI-native way of working.
What You Bring
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
What Sets You Apart
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
When a customer makes a feature request, your first instinct is to ask "what problem are you actually trying to solve?" — you design for outcomes, not outputs
You integrate AI tools into your delivery workflow as a default: LLM-assisted modeling, prompt engineering, AI-generated documentation — not as experiments, but as standard practice
You thrive in fast-moving, lean environments where the playbook doesn't exist yet and building it is part of the job
