Neil Ge
@neilge
AI-driven B2B SaaS Product Manager building workflow automation and analytics platforms from zero to launch.
What I'm looking for
I’m an Entrepreneurial Product Manager with 6+ years of experience launching and scaling B2B SaaS products in fully remote, async-first environments. I specialize in AI-driven insights, workflow automation, and analytics platforms—turning unmet market needs into products that deliver measurable value.
I lead zero-to-one development by validating hypotheses fast through customer interviews, market research, and usage analytics. I’ve driven outcomes like a 28% expansion revenue growth by identifying new market segment opportunities and building roadmaps focused on automation and predictive analytics.
I also excel at cross-functional execution: partnering with engineering, design, and data teams across time zones to deliver MVPs in rapid cycles. From KPI dashboards and experimentation frameworks to onboarding improvements and executive-level data visualization, I help teams iterate with confidence and ship breakthrough solutions.
Experience
Work history, roles, and key accomplishments
Product Manager
Cloud-Based Workflow Platform
Owned end-to-end product lifecycle from opportunity identification to post-launch optimization through structured customer interviews and hypothesis validation. Simplified complex technical systems into user-centered workflows, improved feature adoption via onboarding and customer education, and aligned cross-functional stakeholders without direct authority.
Senior Product Manager
B2B SaaS Analytics Platform
Led zero-to-one development of an AI-powered productivity insights feature using behavioral usage data. Identified a new market segment opportunity that drove 28% expansion revenue growth, built an automation/predictive analytics roadmap, and established KPI dashboards and experimentation frameworks for rapid iteration.
Senior Full-Stack Engineer
Enterprise SaaS Company
Partnered with product teams to translate customer needs into scalable solutions and designed data-driven features using event pipelines and analytics dashboards. Contributed to AI-assisted workflow automation tools, supported roadmap decisions with technical feasibility analysis, and improved system performance and reliability across distributed architecture.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Master of Science in Computer Science, Computer Science
Earned a Master of Science in Computer Science at the University of Southern California.
The Chinese University of Hong Kong
Bachelor of Science in Computer Science, Computer Science
Earned a Bachelor of Science in Computer Science at The Chinese University of Hong Kong.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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