Name: Danni Chen | AI for Go-to-Market Summit San Francisco
Start: 2026-09-22T07:00:00.000Z
End: 2026-09-23T07:00:00.000Z
Location: Hyatt Regency San Francisco Airport

Speakers Agenda Why attend Partners Venue

Locations ▼

Request to partner

Call to action

Your text goes here. Insert your content, thoughts, or information in this space.

Button

Back to speakers

Danni

Chen

Head of Product & GTM, AI

Gen

Danni is Head of Product & GTM, AI at Gen Digital / NortonLifeLock, leading AI-native product and growth initiatives focused on the future of browsing, security, and consumer AI. Previously VP Growth Marketing at Yellow.ai, Danni brings 15+ years of experience building and scaling high-growth SaaS, fintech, and AI-native companies across both enterprise and consumer markets. Her background includes leadership roles at LeanTaaS, Payoneer, and Yellow.ai, driving growth, GTM, product adoption, and category expansion during periods of hyper-growth. Danni has helped scale businesses from startup stage to hundreds of millions in ARR, including growth journeys from $0–$5M, $35M–$75M, and $200M–$1B ARR. She also advises several fast-growing AI-native startups on product strategy, positioning, growth loops, and GTM execution. Her expertise spans AI-native products, product-led growth, growth marketing, brand building, and category creation.

Button

23 September 2026 11:00 - 11:30

Scale without the headcount: How lean teams win GTM with AI agents

Most teams are bolting AI onto a GTM motion designed for an org that no longer exists. The teams pulling ahead are doing something structurally different: running 20-30% leaner and shifting the hiring mix from operators to builders. Danni Chen has built AI-first GTM functions from the inside as an operator at Gen Digital, and now advises a portfolio of AI startups scaling into the US market on doing the same. In this session she shares the frameworks and internal systems for embedding agents across demand gen, lifecycle, and ops, distilled from patterns she's seen work (and fail) across both enterprise and lean startup teams. Attendees will leave with a practical blueprint for designing AI-native workflows, deciding which GTM tasks belong to agents versus human judgment, and standing up a lean GTM operating system that scales output without scaling headcount.