Because the combination is unusual: enterprise depth, customer context, technical fluency, execution ownership and a practical approach to AI.
Enterprise product work is rarely blocked by ideas. It is blocked by dependencies, unclear ownership, user context, risk and translation between technical and business teams. That is the environment I have spent my career navigating.
Platforms, ERP/MES, APIs, integrations, upgrades and customer delivery.
Problem framing, trade-offs, stakeholder alignment, validation and feedback.
Enough depth to work credibly with engineers without positioning myself as a pure software developer.
Use AI where it reduces real friction, and keep structure, evaluation and human review where trust matters.
I’m not trying to replace nine years of enterprise experience with a new PM label. I’m turning that experience into a product advantage.
AI Product, Technical Product, Product Operations and customer-facing product roles in B2B, enterprise software, industrial technology, ERP/MES, developer tools or workflow automation.