Principal Product Manager - Technical - AI, Global Operations Shared Services (GOSS)

Amazon•Nashville, TN

About The Position

Global Operations Shared Services is seeking a Principal Product Manager - Technical to join our Business Innovation & AI team. This is a hands-on, high-impact individual contributor role for someone who thrives in ambiguity, loves building, and makes everyone around them faster and sharper. You won't be handed a defined product with a known roadmap. You'll be dropped into genuinely hard, unstructured problems — where the opportunity isn't fully visible yet — and expected to figure out what to build, build it (or build enough of it to prove it works), and create the conditions for others to carry it forward at scale. You are a practitioner first. You operate a level upstream: defining which problems are worth solving, validating ideas through working prototypes before committing to full builds, and establishing the technical and product patterns that the broader team can replicate. You bring strong technical depth in AI to be fluent and credible in a whiteboard session with engineers, and enough product instinct to know when a demo is more valuable than a document.

Requirements

8+ years of technical product management, program management or engineering experience
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Experience handling ambiguous or undefined challenges through strong problem solving abilities
Experience working with or evaluating AI systems
Experience defining system architectures and exploring technical feasibility tradeoffs
Experience directly working with engineering teams

Nice To Haves

Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
Experience in relevant industry fields like operations, risk, or fraud investigations
5+ years of technical product or program management experience
Experience with automation, testing, or monitoring framework development

Responsibilities

Find the Hard Problems Before They're Obvious — You don't wait for a business case to land in your lap. You embed with operational teams, ask uncomfortable questions, and surface the high-value opportunities that aren't yet on anyone's roadmap. You have the experience to distinguish between problems that are genuinely hard and worth solving versus those that are loud but shallow. You define the problem space with enough precision that engineers can start building.
Build Prototypes That Prove — or Kill — Ideas Fast — Your default mode is working software over perfect documentation. You partner directly with science and engineering teams to design and build rapid prototypes that validate AI use cases in weeks, not quarters. You know enough about GenAI, ML pipelines, and automation tooling to be a meaningful contributor in technical design sessions — not just a translator. You use prototypes to generate real signal: does this work, does it matter, and is it worth the full investment?
Set the Technical and Product Standard — You are the bar-raiser for what good looks like on this team. You bring patterns, frameworks, and hard-won judgment that elevate the work of those around you. Not through process or governance — through doing great work that others learn from. You review technical designs, challenge assumptions, spot the architectural risks that aren't obvious, and ask the questions that push solutions from adequate to excellent.
Make the Work Legible and Others Better — You write sharply and communicate complex technical trade-offs with clarity — to engineers, to business partners, to anyone who needs to make a decision. You also make the people around you better: not as a manager, but as a senior practitioner whose judgment is worth seeking. You mentor through doing, not directing.