Sixteen years of product leadership taught me how to understand the work before changing it. Now I build the operating models, products, workflows, and AI systems that change how that work gets done.
Open to AI transformation and product executive roles. Available for select advisory engagements.
AI transformation is a product problem at organizational scale. The hard part is never the model. It is understanding the work, deciding where judgment belongs, and building the conditions that let a system be trusted.
Product is the foundation. Sixteen years of discovery, 0 to 1 launches, platform strategy, and scaled operations is why I can read an organization's work before changing it.
AI expanded the scope of that work rather than replacing it. The same discipline now applies to how Finance closes the books, how Support resolves problems, how product teams run discovery, and how a whole organization works with AI.
800 → 4,000 customers, roughly $20M ARR
I led the product organization while the flagship went from 800 to 4,000 customers. Alongside it I conceived and shipped Rooms and took it from 2 design partners to 436 customers.
700K tracks a day at 99.36% accuracy
AI-generated music detection running at 700K tracks a day. The model was one component. The decisions around it were the product.
89% of contracts reconciled automatically end to end
I built the Finance reconciliation system myself. 89% of contracts reconciled automatically end to end, and the remaining 11% went to people on purpose.
36 discovery sessions, 100+ workflows, 400+ tasks
Understand the work, decompose it, find leverage, build, evaluate, set autonomy, then change the operating model. 23 experiments became 4 live pilots with named owners.
She consistently cut through the noise, evaluating opportunities and pressure-testing their potential.
Maria Von WatzdorfVP, Product at SoundCloudContact
Ambiguous problem, AI adoption that stalled, an operating model that stopped scaling, a support function that should be a product. That is the conversation I want.