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:

1. 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)

2. 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.

We are seeking a Senior Product Manager to lead the development of core platform features, driving the success of the platform's user-centric experience. The ideal candidate has a deep understanding of data science, analytics, and analytics workflows, combined with prior product management experience building platforms that serve technical personas like data scientists and analysts.

Key Responsibilities:

• Product Strategy & Vision:

  • Develop and execute a product vision and roadmap for core platform features that cater to data scientists, analysts, and supply chain consultants.

  • Understand customer needs and translate them into a cohesive platform strategy that supports rapid model building through both code-first and no-code approaches.

  • Ensure alignment of product strategy with Lyric's overall business goals and growth objectives.

• Feature Development & Execution:

  • Lead the end-to-end development of core platform features, focusing on enhancing the user experience for technical personas such as data scientists and analysts.

  • Collaborate with cross-functional teams, including engineering, data science, UX/UI design, and business stakeholders, to deliver high-quality products on time.

  • Prioritize features based on user feedback, market research, and business impact.

• User-Centric Approach:

  • Work closely with end-users (data scientists, analysts, supply chain consultants) to deeply understand their workflows, pain points, and technical requirements.

  • Ensure that platform features meet the needs of both users who bring their own code and those who prefer a no-code solution.

• Data Science & Analytics Expertise:

  • Leverage your background in data science or analytics (preferably with experience in time series modeling and supply chain problems) to shape product decisions that resonate with technical users.

  • Stay updated on industry trends, emerging technologies, and best practices in machine learning, analytics, and platform development.

• Stakeholder Management:

  • Act as the primary liaison between internal teams and external stakeholders, ensuring transparency and effective communication.

  • Present product updates, performance metrics, and future plans to senior leadership and key partners.

Qualifications:

• Experience:

  • 6+ years of experience in product management, with a focus on building platforms or tools for data scientists, analysts, or technical users.

  • Previous hands-on experience as a data scientist or data analyst, with a strong understanding of time series forecasting, predictive analytics, and supply chain optimization challenges is an added advantage but not a must have.

  • Proven track record of successfully launching and scaling core platform features in a fast-paced, collaborative environment.

• Skills:

  • Deep understanding of data science workflows, analytics processes, and model development.

  • Strong technical acumen; ability to engage with engineering and data science teams to discuss product architecture, APIs, and integrations.

  • Familiarity with both code-first and no-code platforms for building models and solutions.

  • Exceptional communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.

• Preferred:

  • Experience working on platforms that serve a mix of technical and non-technical personas.

  • Previous experience working with supply chain-specific data and problems is desirable but not a deal-breaker

  • Background in machine learning, time series modelling, or operations research is a +