Engineering Manager / Sr Engineering Mnager

About Lyric

Here at Lyric, we’re building the future of Supply Chain AI, with the team best equipped to build it. Traditional supply chain software, often supplemented with ad hoc analysis, is too rigid for modern AI capabilities. Custom AI solutions are time-consuming, costly to develop in-house, and lack proper supply chain context. These issues make it hard for large supply chain organizations to fully leverage advanced data & decision science.

Our platform, the "Lyric Studio", accelerates your ability to create and consume advanced supply chain models (e.g. stockout prediction & network optimization). A catalog of ready-to-use algorithms and optimization models makes it easy for business users to create sophisticated no-code applications. Lyric Studio also enables technical users to train prediction models & deploy custom algorithms to a private catalog for future reuse. Lyric allows for faster, more advanced supply chain decisions of all shapes and sizes, which is why dozens of Fortune 500 enterprises are saving millions with Lyric today.

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.