Renee Y.
Director, AI/Digital Natives on Cloud @ NVIDIA
About
Renee Yao is a Director at NVIDIA with over 10 years of experience advancing AI across industries. She oversees an ecosystem of 4,000+ startups, global partners, and VCs, building programs that scale innovation from research to deployment. Renee has a proven track record of driving measurable adoption and market impact, backed by degrees and certifications in AI, big data, and digital strategy from Stanford, MIT, Northwestern Kellogg, UC Berkeley, and NVIDIA. Guided by the principle of people first, performance always, she leads with empathy and is passionate about mentoring the next generation of leaders, with a strong focus on women in technology.
United States
San Francisco Bay Area
Computer Hardware
Startup Operations, Enterprise deployment, developer relationships, Startups, AI/ML, Cloud GTM, Venture Partnerships, Ecosystem Strategy, Customer Success, Communication, Accounting, Bookkeeping, Project Management, Program Development, Strategic Partner Relationship Management, Solutions Marketing, Partner marketing, Leadership, Market Research, Sales and Marketing
Experience

Director, Business Development, Cloud
Santa Clara, California, United States
Lead NCP GTM strategy and program execution, building scalable “recipes” that turn AI use cases into production deployments, driving GTC special address moments, and advancing internal full stack inference optimization programs for cloud partners

Director, Ecosystem BD & Dev Rel, Healthcare Life Sciences (Startups, GSI)
Santa Clara, California, United States
Director, Ecosystem BD & Dev Rel, Healthcare Life Sciences (Startups, GSI) | Mar 2025 – Sep 2025 - Scaled HCLS startup engagement to 4,500+ global startups; launched BioNeMo startup adoption programs driving experimentation → production; built VC, startups, corporate partnerships (a16z, Insight, SoftBank, Lilly, Pfizer); advanced sovereign AI frameworks and enterprise-scale AI pipelines. Ecosystem BD, Healthcare Life Sciences (Startups & Consulting Partners) | Jun 2023 – Feb 2025 - Led ecosystem strategy across 3,000+ AI startups; built and scaled SI partnerships (Accenture, Deloitte, Capgemini, McKinsey); established alliances (Quantiphi, EXL) to accelerate enterprise AI deployment and platform adoption. Global Healthcare AI Startups Developer Relations Lead | Aug 2019 – Jun 2023 - Built global HCLS dev rel function; drove 3.75× adoption growth, 157% revenue growth, 6.5× developer output; expanded developer training and community into structured global programs. Supported GTM for Clara and Clara Guardian, contributing to hundreds of hospital deployments and millions in GPU revenue.

Product Manager and Senior Product Marketing Manager, AI Systems & Analytics Software
Santa Clara, California, United States
Product Manager, AI Systems | Jan 2019 – Aug 2019 Defined and supported product strategy and roadmap for NVIDIA AI Systems; supported industry-focused solutions launches across automotive, healthcare, and telecom industries Senior Product Marketing Manager, AI Systems & Data Science Software | Dec 2017 – Jan 2019 Led and supported GTM for AI systems software and RAPIDS.ai software, driving product positioning, global customer insights, and field enablement across GTC, SAP SAPPHIRE, Strata, and global roadshows, accelerating enterprise adoption and sales. Product Marketing Manager, Deep Learning and Analytics | May 2016 – Dec 2017 Built GTM strategy, content, and campaigns for NVIDIA AI platforms; led global enablement and ecosystem engagement through major industry conferences and partner channels, supporting early-stage growth of NVIDIA’s AI software business.

Earlier Experience (Founding, Product, Teaching, Operations)
Startups, Enterprises, and UC Berkeley
Founded and scaled multiple ventures (Dancewaze, Cuddle Budds, Athemo), driving product development, GTM, and revenue growth; Supported enterprise product and partner marketing at Cisco and SanDisk, accelerating deal velocity and partner pipeline; Taught at UC Berkeley and led cross-functional teams, building a foundation in leadership, analytics, and end-to-end execution across startups and global organizations.
Education

Business
Focused on AI-driven business strategy, global markets, and leadership, including Data & Decisions, Macroeconomics, Finance, and Strategy in Health Care—directly applied to scaling AI ecosystems, inference GTM, and enterprise adoption in role. Complemented with advanced topics in organizational leadership, negotiations, and productivity systems, strengthening execution of cross-functional programs, partner strategy, and large-scale ecosystem building. Deferred 2022-2024

Tackling the challenges of Big Data
This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting structured data from unstructured data, systems issues (exploiting multicore, security), analytics (machine learning, data compression, efficient algorithms), visualization, and a range of applications.
Renee Y.'s Contact Information
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