Sr. Tech Business Developer, Global Fleet & Products

Overview

In this role you drive global fleet and technology partnerships for GFP, identifying opportunities outside North America and enabling cross-regional expansion. You work with RoW leadership to extend GFP’s scale, partnerships, and tech into new markets and geographies while coordinating with NA teams when appropriate. You’ll cover the full GFP portfolio across trucks, vans, micromobility, electrification, autonomy, and emerging platforms, shaping deals and strategic investments. You’ll partner with executives to build business cases and inform roadmaps that unlock international growth.

Responsibilities

• Partner with RoW leadership to identify fleet and delivery tech opportunities leveraging GFP’s scale and partnerships
• Work across GFP portfolio to match solutions to regional and cross-regional needs
• Lead end-to-end deal origination, structuring, negotiation, and execution for global partnerships
• Identify RoW-originated partnerships that can extend into NA and coordinate with NA BDT team
• Serve as primary BD contact for non-NA partner engagement across international markets
• Interface with C-Suite and VP-level executives externally and with Amazon leadership internally
• Develop business cases, financial models, and strategic narratives to quantify value of extending GFP’s scale
• Bring regional market intelligence to central GFP product and strategy teams to inform roadmaps and priorities

Key requirements

• Experience in developing, negotiating and executing business agreements
• Experience developing strategies that influence leadership decisions at the organizational level
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• Experience working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage
• Bachelor’s degree
• Fluency in English

• Strategic thinking
• Cross-functional collaboration
• Executive communication
• Data & AI technologies (AI/ML, GenAI, Analytics)
• Database and storage concepts
• Business analytics and financial modeling

…