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, requiring powerful algorithms—AI—to optimize their supply chain operations. Yet, most organizations struggle to leverage supply chain AI at scale. Traditional solutions present two flawed choices:
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Buying off-the-shelf point solutions, which are rigid and limited in scope.
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Building AI capabilities in-house, which demands immense investment and expertise.
That is—until now. (Cue dramatic music.)
Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds when companies weigh the decision to buy or build:
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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. (Buy)
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A platform-first approach that empowers both business and technical users with end-to-end composability—leveraging no-code tools, their own code, or even forking our code to build and refine decision intelligence. (Build)
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. After an incredible 2024, we expect 2025 to be an even bigger rocket ship, and we can’t wait to see what our customers—both current and future—are empowered to build with us next.
Key Responsibilities:
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Build and nurture a world class team of engineers dedicated to pushing the boundaries of innovation and delivering excellence.
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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.
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Manage product roadmap, priorities, and own the delivery of the product.
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Foster a culture of rapid experimentation, encouraging team members to iterate quickly and learn from successes and failures.
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Collaborate closely with Product Managers, other Engineering leads, and Data Science experts to align on priorities and drive seamless delivery.
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Build a deep understanding of the Supply chain landscape, constantly exploring new technologies and methodologies.
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Oversee the design, development, testing, and deployment, ensuring adherence to quality standards and best practices.
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Monitor application performance metrics and implement optimizations to enhance search relevance and speed.
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Act as a strategic advisor to senior leadership, providing insights and recommendations on Engineering initiatives and opportunities.
Qualifications:
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Bachelor’s or Master's degree in Computer Science, Engineering, or a related field.
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9+ years of experience in software engineering, with a focus on building distributed systems.
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3+ years of experience in a technical leadership or management role.
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Experience developing and deploying AI-driven data products or solutions.
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Ability to write high-quality, maintainable code and work collaboratively.
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Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and influence stakeholders.
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Proven track record of delivering complex projects on schedule and within budget.
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Passion for technology and a commitment to staying abreast of industry trends and advancements.
