Job Description

About the role

We are building an AI-native local commerce platform that connects consumers with local businesses and services. You will own a local services or local commerce vertical end to end — from zero to one — defining the category strategy, shaping the product, and driving the go-to-market motion that takes it from launch to scale. This is a builder role for someone who has stood up a new vertical at a consumer marketplace and wants to do it again, faster, with AI at the core.

What you'll do

• Own a local commerce / local services vertical end to end: strategy, roadmap, launch, and growth — including category P&L or GM-style ownership.
• Take new categories from 0→1: validate demand, define the MVP, launch, and iterate toward product-market fit.
• Drive go-to-market for category launches — supply acquisition, consumer demand, pricing, and marketplace liquidity.
• Partner with engineering and data science to embed AI/LLM capabilities into the core consumer and merchant experience.
• Use marketplace metrics (conversion, liquidity, retention, take rate) to prioritize and to prove impact.

What we're looking for

• 6+ years in product management, with Senior / Lead / Principal / Staff / Group PM scope.
• Demonstrated 0→1 launch of a new local services or local commerce vertical at a consumer marketplace — not a single feature, but a category.
• Both vertical category depth AND local-platform experience — you have built within a specific category and on a local marketplace (these two together are the bar, not one alone).
• Hands-on go-to-market ownership for a new category launch.
• Fluency with marketplace dynamics: two-sided supply/demand, liquidity, pricing, and unit economics.

Nice to have

• Experience at a US consumer marketplace such as Yelp, DoorDash, Thumbtack, Nextdoor, Instacart, Uber, Grubhub, Angi, or Gopuff.
• Track record with services-booking or home-services marketplace products.
• Experience shipping AI/LLM-powered consumer features.
• Chinese local-life-services background (e.g., Meituan, Dianping) is a plus for our localization work.