I turn stalled product and AI bets into production systems.
Senior product judgment and hands-on technical leadership in one accountable lead. From finding the real constraint to shipping with the team and transferring ownership.
Selected outcomes
Three examples of turning ambiguity into an operating system, a product, and a measurable result.
all work →Built the operating system behind 200× growth.
Scaled delivery and operations from seven people to more than 150, across connected fitness products for Nike, Equinox, and SoulCycle.
Read case study →Turned a voice AI product into an enterprise operating model.
Set product direction, analytics, instrumentation, and enterprise engagement structure while the company closed its seed round.
Read case study →Made enterprise AI recommendations explainable and operational.
Designed the explainability system, strengthened technical operations, and clarified how product, engineering, and data science worked together.
Read case study →Point of view
Writing, open-source methods, and conversations about the systems behind product work.
Articles
all writing →operator skills
operator-skills: 28 claude skills for product, delivery, analysis, ops, and comms. bilingual, MIT licensed, with a linter and an llm judge.
El fin del modelo de Federico Imparatta | Productos increíbles #56
Shipping a hard product takes an accountable lead, not another layer of process.
For leaders whose product, data, or AI bet is stalled short of production and needs senior, hands-on ownership.
- A critical initiative is stalled between decision and production
- AI works in the demo but is not a trusted production system
- You need one accountable lead, not another coordination layer