Javier Goyret

About Javier Goyret

I build marketing data products that help go-to-market teams make smarter decisions.At Microsoft, I lead the strategy and delivery of propensity models, recommendation systems, and business intelligence tools that identify the right customers, prioritize opportunities, and drive Marketplace growth. While my title is Product Marketing Manager, my work centers on product management for data and analytics solutions for marketing applications. I own roadmaps, define requirements, partner closely with Data Science and Engineering, and ship production data products used by sellers and partners every day.My focus is turning complex signals such as transaction data, usage behavior, CRM activity, and partner inputs into practical tools that teams can act on. This includes scoring systems, recommendation engines, dashboards, and forecasting platforms embedded directly into marketing and sales workflows.I enjoy working at the intersection of product, analytics, and strategy and I am most effective when:• translating customer problems into datasets, models, and tools• leading cross-functional teams to ship data products quickly• using experimentation and metrics to guide decisions• connecting insights to measurable business outcomesI am particularly interested in building data products and analytics platforms for B2B SaaS companies where data can meaningfully improve how teams prioritize, target, and grow.

Experience

1. Senior Product Marketing Manager

   Microsoft

   Sep 2024 — Present · Redmond, WA, US

   I lead the strategy and delivery of marketing data products that help Microsoft sellers and ISV partners identify the right customers, prioritize opportunities, and grow Marketplace revenue. Although my role sits within Product Marketing, my work is centered on product management for data and analytics solutions. I own roadmaps, define requirements, and partner closely with Data Science and Engineering to ship production-grade ML and decisioning tools that integrate directly into go-to-market workflows.My focus is building scalable propensity and recommendation systems that turn transaction, usage, and CRM signals into actionable insights for marketing and sales teams.Key areas of ownership include:• Leading the roadmap for Marketplace propensity and recommendation products that support 10+ marketing and partner use cases• Partnering with Data Science to design and productionize models such as customer–partner propensity scoring, next-best-app recommendations, and account recruitment scoring• Translating discovery with 100+ ISVs, sellers, and field stakeholders into new datasets, features, and product requirements• Writing PRDs, prioritizing backlogs, and driving agile delivery with cross-functional teams of Data Science and Data Engineering• Operationalizing model outputs into CRM tools and marketing campaigns.• Scaling partner scoring from pilot to broad availability.

Education

• Stanford University Graduate School of Business

  Stanford Customer-Focused Innovation Program

  2017 — 2017

• Universidad Nacional de Salta

  Ingeniero Industrial

  2008 — 2013

• Duke University - The Fuqua School of Business

  Master of Business Administration , MSTEM, Market Analysis & Strategy

  2019 — 2021