Jobs Companies Lyric Product Training Associate (Technical)

Sobre este puesto de Product Training Associate (Technical) en Lyric

Lyric · Chicago

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!

About the role

Lyric is a platform for building AI-powered supply chain products. The Product Training team is on a mission to enable 1 million people to do supply chain engineering, and we need builders and educators to help us get there.

This is an entry-level role for recent graduates with strong technical foundations and a passion for making hard things understandable.

What You'll Do

  • Develop self-paced learning content that teaches math-first thinking and supply chain engineering workflows, including video courses, written modules, exercises, and toy datasets

  • Build technical training materials covering mathematical modeling, optimization, data science, supply chain planning, and data visualization

  • Contribute to repeatable training modules, playbooks, and structured product curricula

  • Shadow and support in-person and virtual customer workshops

  • Help facilitate technical modeling sessions alongside senior team members

  • Take complex concepts like optimization, forecasting, and AI agents and make them intuitive and actionable for customers

What We're Looking For

  • Strong technical foundation in mathematical modeling, optimization, data science, industrial engineering, operations research, statistics, or computer science

  • Comfort reasoning about algorithms and translating technical concepts into clear explanations

  • Strong storytelling and teaching instincts: you can make hard things understandable

  • Bonus: experience creating educational content, writing technical docs, or presenting to non-expert audiences

Location & Travel

Chicago-based or open to relocation, hybrid (2–3 days/week in the Loop). Domestic and international travel to support customer workshops is expected to reach 25–50% over time.

Compensation

The annual base compensation range for this position is $80,000 and $90,000. Base cash will be determined based on years of experience with a 20% variable compensation that is earned based on individual & business performance. You will also have the opportunity to receive equity in Lyric.

 

Even if you don’t meet 100% of the qualifications, we recommend applying to the role!

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