Profile cover
M

AI Product Strategist

Mei Lin

Full-time · Mid-level · Los_Angeles

About the role

We run an online marketplace for handmade goods — about 800,000 active sellers, 6 million buyers, and a search and recommendation system that determines whether a seller makes rent this month or not. Search ranking, listing recommendations, trending product surfacing — these are AI-driven, and the decisions we make about them are real economic decisions for real small business owners. We've been shipping AI features for two years. Some of them work well. Some we've learned from the hard way — like the time a recommendation model update started systematically underranking sellers in certain regions due to geographic bias in the training data. We caught it because a seller forum blew up, not because we had the right monitoring in place. We hired someone to fix the monitoring. Now we're hiring a product manager who won't let us reach the forum-blowing-up stage in the first place. You'll own the product side of our recommendation and search ranking features. You'll define what success looks like before a feature ships, not after. And you'll push back — on engineering, on data science, on leadership — when you think a decision will hurt sellers.

Responsibilities

  • Own the product roadmap for search ranking and seller recommendation features
  • Define and maintain measurement frameworks for all live AI features including fairness and bias audits
  • Lead pre-launch reviews for new ML features — you're the person who asks 'what could go wrong for sellers' before deployment
  • Write product requirements that data scientists can use to scope experiments and engineers can use to design systems
  • Run quarterly seller impact assessments and present findings with recommendations to leadership

Requirements

  • 4+ years of product management with 2+ years specifically on AI or algorithmic product features
  • Strong analytical foundation — you write SQL, interpret model evaluation metrics, and understand what a precision-recall tradeoff means for product decisions
  • Track record of defining success metrics for AI features before development begins, not after
  • Experience working closely with data science and ML engineering teams
  • Outstanding written communication: strategy documents, experiment proposals, and post-launch reviews
  • Practical awareness of fairness and bias in algorithmic systems — not theoretical, but grounded in real product decisions
  • E-commerce or marketplace experience is helpful; strong product instincts are essential

Benefits

  • Product ownership over AI features with direct, measurable economic impact on 800,000 sellers
  • Full remote
  • $100,000 – $128,000 base salary + equity
  • $2,000 annual professional development budget
  • Direct access to seller community forums and advisory panels — the most honest product research source we have

Job Type

Full-time

Level

Mid-level

Language

English

Salary Range

$100,000 – $128,000

AI Expertise

AI Product & Strategy

Ready to apply for this role?

Create a free talent account in under 2 minutes.

  • Apply to verified AI companies
  • Get AI-matched job recommendations
  • Message hiring managers directly
  • Build your public AI talent profile
Create free account & apply Log in