Product Manager for AI Center (AI/ML platform for delivery and continuous retraining).

• Increased conversion of customer onboarding by mapping customer lifecycle, defining and aligning team on success metrics, working cross-functionally to set up systems to measure and analyze product performance. • Launched new onboard flow by proposing mockups, initiatives and working with UX and engineering to drive implementation. • Aligned cross-functional team toward key retention behaviors by setting up report (leveraging technical skills to build data pipeline and write complex SQL queries), gathering and synthetizing customer surveys and prioritizing new features. • Product outcomes repeated across product line; framework was so successful that by the end of tenure, manager’s manager championed adoption across multiple products.

• Markedly reduced product operations expenses; set milestone roadmap, prioritization, and optimal partner choice of product operations backed by financial model and industry benchmark, performance recognized by c-suite. • Directly increased bottom line by more than .1% (est. greater than 150K/quarter) by building a system to solve a constrained convex-optimization problem to determine optimal partners on a per transaction level.

• Enabled new perspectives and decision-criteria by building blockchain investment thesis and primer.

• Launched new product in two person team; led backend development and collaborated in product management (ideation, roadmap, milestones, tracking success), work recognized at all-hands by the CEO and received a non-scheduled performance bonus. • Shipped previously unatainnable value to customers by proposing, designing, and implementing a user experience for answering geo-spatial queries; immediately opening up new prospects including a Fortune 50.• Delivered on company’s goal to be at the forefront of technology by building a Natural Language Understanding engine for interactive question answering. Chosen to be part of this high-visible, highly critical initiative working with 1 other engineer and directly with CTO and advisor (Ex-VP at Google, Google Fellow).

• Gave internal Editor Team almost a fifth of their day back by creating a data pipeline and machine learning system that automated a manual process in their workflow, performing better than a third-party solution commercializing that service.• Released markedly better user experience by refactoring backend to be multi-threaded backend.

• Unlocked the business potential of an in-house system by enabling clients to get results an order of magnitude faster. Formulated a graph sampling algorithm inducing a more than 70% reduction in platform’s input size, recognized by US patent 20170324759.