Director of Product Development

Director of Product Development# Director of Product Development

CMH Operations Terminal - Dublin, OH 43016## Overview Level Senior Position  Type Full Time## Description
** ESSENTIAL DUTIES
**** Product Vision & AMMI Platform Leadership
*** Own the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit.
* Define and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility.
* Serve as the internal champion for AMMI—articulating the platform’s value to internal stakeholders, leadership, and external partners.
* Establish product governance and sprint cadence frameworks that align development velocity with enterprise priorities.
* Translate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage.
* Drive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities.
** AI Strategy & Innovation
*** Co-own EASE’s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured.
* Lead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities.
* Build AMMI as a genuinely AI-native platform—embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack.
* Champion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration.
* Stay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments.
* Establish EASE’s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement.
** Build, Buy, & Partner Decisions
*** Own the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability.
* Lead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development.
* Evaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps.
* Ensure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria.
* Maintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit.
** Resource Strategy & Team Leadership
*** Lead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow.
* Design and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost.
* Manage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team.
* Define onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model.
* Partner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources.
** Data Science & Analytics
*** Own EASE’s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action.
* Lead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within…