Margi Desai

About Margi Desai

Margi leads product strategy and execution for first-of-its-kind products, owning the end-to-end lifecycle from concept and beta validation through general availability and go-to-market. This includes setting product vision and roadmaps, translating customer and stakeholder needs into requirements, and partnering closely with engineering, data science, finance, and senior leadership to deliver scalable, production-grade products.Margi works deeply with AI/ML-driven analytics, leveraging predictive models, real-time decisioning, and experimentation to optimize capacity, eligibility, pricing, and feature development. Margi defines OKRs and executive dashboards to track product health, SLA/SLO performance, and long-term business outcomes. Prior to joining T-Mobile, Margi held technical product and engineering roles across AI/ML, industrial platforms, and mission-critical systems in highly regulated, high-reliability environments. Margi led the development of NLP-based classification models that improved operational efficiency and reduced time-to-resolution by 1.5×. Her work spanned taking early-stage concepts from R&D to production, securing external funding, and deploying solutions at scale. Margi partnered closely with engineers, data scientists, and applied researchers to productionize models, define experimentation frameworks, and drive measurable business impact.

Experience

1. Product Manager - Growth

   T-Mobile

   Oct 2023 — Present · Bellevue, WA, US

   Leading commercialization of AI, 5G and IoT capabilities by defining product vision, roadmap, and market use cases that unlock new growth opportunities across enterprise verticals-Running customer pilots to validate product–market fit, shape success metrics, and inform activation, onboarding, and adoption strategies ahead of scaled launch-Driving pricing and monetization strategy across subscription, usage-based, and hybrid models, optimizing for activation, retention, and long-term revenue growth-Partnering with Engineering, Network, and Data Science to integrate intelligent automation and performance analytics into next-generation products-Building unified KPI frameworks and product health dashboards to enable data-driven decisions on growth levers, GTM readiness, and scaling priorities across programs-Accelerating adoption of new enterprise products through refined positioning, packaging, and sales enablement grounded in customer insights and experimentation.

Education

• University of Louisiana at Lafayette

  Masters in Business Administration, Business Administration and Management, General

• Louisiana State University

  Bachelor of Science - BS, Electronics and Communications Engineering