About the roleLyric 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 & TravelChicago-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.
CompensationThe 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!
