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Technical Product Manager

DaaS Platform

Raleigh, NC · 2025 – Present

A pre-seed data-as-a-service platform matching data supply and demand in a two-sided market. Venture identity confidential.

Product lead for a pre-seed data platform. Took eight months of founder ideation to a scoped MVP, a fundable business case, and a working multimodal data application with human oversight built into the pipeline.

The venture had a compelling vision and eight months of unstructured ideation, but no MVP definition, no delivery plan, and a hardware dependency that could sink v0 before it started. I converted the ideation backlog into a prioritized delivery plan, framed the business case for a planned $500K raise, and drove the sensor decision by evaluating vendors on synchronization fidelity rather than marketing claims, because cross-stream sync was the one requirement that could not be shortcut.

Alongside that, I designed the opt-in consent and rights-management workflows that underpin data privacy compliance across a serviceable addressable market of 160K+ end users, and authored the initial technical specifications and proof-of-concept requirements for the MVP. I also scoped the MVP to clean, structured raw datasets and deferred analytical insights, which required data science capacity the venture did not have and would have delayed proof of the core value.

Scatter plot of sensor sync drift against cost per sensor on log axes, with four tiers on an efficient frontier and the research-grade tier marked as selected for v0.
Sensor evaluation for v0, sync fidelity versus cost.
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