Lyric
About Lyric
Why we built Lyric: supply chains are as critical & complex as ever → every day, large enterprises are faced with trillions of possibilities for their supply chain → powerful algorithms are required to optimize these supply chain decisions (i.e. AI) → large enterprises are unable to leverage supply chain AI at scale due to (a) the rigidity & limited scope of point solutions (“buy”) and (b) the immense investment required to develop in-house (“build”).......until now (cue dramatic music in the background)......
Enter Lyric: an enterprise AI platform for supply chains - when enterprises evaluate whether to buy or build decision-making engines for their supply chains, we provide the best of both worlds thanks to:
Our deep catalog of supply chain AI products that are available out-the-box to optimize networks, allocate inventory, schedule routes, plan fulfillment capacity, promise orders, propagate demand, build predictions, analyze scenarios, and much more (buy)
Our platform-first approach enables business & technical users end-to-end composability for supply chain decision science with no-code, their code, or even forking our code (build).
At Lyric we’re building a new era in supply chain, with the team best equipped to build it. We’ve been at the intersection of supply chain & algorithms for 20+ years, which led us to a deep conviction that global supply chains needed something like Lyric. We’re proud to say that since our inception in Dec. 2021, this conviction has now been validated many times over. This is thanks to our double-digit number of Fortune 500 Customers (Smurfit WestRock, Estee Lauder, Coca-Cola, Nike, and more) who are innovating on their own terms every day on Lyric. After an incredible 2024, we expect 2025 to be even more of a rocket ship, and we can’t wait to see what our current & future customers are empowered to build with us next.
Key Responsibilities:
Build and nurture a world class team of engineers dedicated to pushing the boundaries of innovation and delivering excellence.
Foster a culture of continuous experimentation and learning, encouraging the team to iterate rapidly and leverage data-driven insights to drive improvements across funnel and user satisfaction.
Manage product roadmap, priorities, and own the delivery of the product.
Foster a culture of rapid experimentation, encouraging team members to iterate quickly and learn from successes and failures.
Collaborate closely with Product Managers, other Engineering leads, and Data Science experts to align on priorities and drive seamless delivery.
Build a deep understanding of the Supply chain landscape, constantly exploring new technologies and methodologies.
Oversee the design, development, testing, and deployment, ensuring adherence to quality standards and best practices.
Monitor application performance metrics and implement optimizations to enhance search relevance and speed.
Act as a strategic advisor to senior leadership, providing insights and recommendations on Engineering initiatives and opportunities.
Qualifications:
Bachelor’s or Master's degree in Computer Science, Engineering, or a related field.
9+ years of experience in software engineering, with a focus on building distributed systems.
3+ years of experience in a technical leadership or management role.
Experience developing and deploying AI-driven data products or solutions.
Ability to write high-quality, maintainable code and work collaboratively.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and influence stakeholders.
Proven track record of delivering complex projects on schedule and within budget.
Passion for technology and a commitment to staying abreast of industry trends and advancements.