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Director of Product Development

Job in Dublin, Alameda County, California, 94568, USA
Listing for: EASE LOGISTICS SERVICES LLC
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Details:
Level: Senior –

Job Location:

CMH Operations Terminal – Dublin, OH 43016 – Position Type:
Full Time.

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 AMMI.
  • Establish a data product strategy that treats EASE’s proprietary data as a strategic asset—defining how it is captured,…
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