Lyric × PyCon — Fast-Track Hiring Pipeline

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, Nike, 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!

Software Engineer — Backend / Platform

What You’Ll Do

• Build reliable services/APIs and data-heavy components that power forecasting, optimization, and simulations
• Own design → implementation → rollout with tests, docs, and observability
• Improve performance, reliability, and developer experience

What makes you a fit

• Strong fundamentals in distributed systems, data modeling, and API design
• Practical approach to testing, reviews, and incremental delivery
• Comfort working cross-functionally with Product/DS/Infra

Software Engineer — Frontend

What You’Ll Do

• Build intuitive, performant UIs for analytics, modeling, and scenario planning
• Create reusable components and clean interfaces to backend services
• Champion accessibility, UX clarity, and design system quality

What makes you a fit

• Strong JS/TS and modern web app experience
• Product sense: convert complex workflows into simple abstractions
• Testing mindset and attention to detail

Data Platform Engineer

What You’Ll Do

• Design data models, pipelines, and tooling that make ML/analytics trustworthy and fast
• Establish data contracts, lineage, quality checks, and cost/scale guardrails
• Enable self-serve data for product and science teams

What makes you a fit

• Solid experience with batch/stream patterns and warehouse/lake paradigms
• Focus on reliability, observability, and security
• Builder of internal platforms or developer tools

Sdet (Software Development Engineer In Test)

What You’Ll Do

• Define test strategy across services, data flows, and UI
• Build automation, environments, and CI/CD quality gates
• Drive release readiness and production monitoring signals

What makes you a fit

• Hands-on in test automation and tooling
• Comfortable reading code, isolating defects, and preventing regressions
• Advocate for quality without slowing velocity

Product Manager (Platform / Apps)

What You’Ll Do

• Lead problem discovery and translate insights into crisp PRDs/RFCs
• Prioritize outcomes, define metrics/NFRs, and ship iteratively
• Align engineering, data, and design around simple, composable building blocks

What makes you a fit

• Track record of shipping technical products 0→1 and 1→n
• Clear writing, structured thinking, and data-informed decisions
• Bonus: exposure to ML/LLM, optimization, or supply chain

Machine Learning Engineer

What You’Ll Do

• Build end-to-end ML services: data prep → training → eval → deploy → monitor
• Productionize models with clear SLAs, rollback plans, and reproducibility
• Blend classical methods with modern AI where they measurably help

What makes you a fit

• Strong software skills plus practical ML experience
• Familiar with experimentation and offline/online evaluation
• Bias to automate, measure, and simplify

Data Scientist (Applied / Decision Science)

What You’Ll Do

• Frame problems, analyze data, and ship models/insights that change decisions
• Run experiments, define success metrics, and communicate trade-offs
• Build explainable outputs users trust

What makes you a fit

• Solid statistics/experimentation and hands-on analysis skills
• Clear storytelling with data; impact-oriented mindset
• Comfort collaborating with engineers and PMs
• Real-world impact: your work moves inventory, capacity, and service levels at scale
• Craft & community: small PRs, strong reviews, readable code, learning in public

Why Lyric

• Ownership & growth: autonomy with mentorship, competitive comp + ESOPs, remote-first (India) with a CHN/BLR/HYD/Pune heavy presence