Product Lead, AI-Driven Core Platform

Collective Apparel Co

San Francisco (CA)

Hybrid

USD 200,000 - 250,000

Full time

7 days ago
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Benefits offered by this job

Hybrid Work Model
Fresh Lunch
Commuter Support
Health & Wellness reimbursement
Flexible PTO
Company holidays
401k + equity
Team connection

Job summary

Collective is seeking a Product Lead to drive execution across its foundational platform and shape customer and business outcomes. You will lead critical core product areas and expand into new verticals, embedding cutting-edge AI into the core product surface layer for scaled impact.

You will architect a category-defining function, work with AI engineers and operations teams, and guide an XFN team to deliver ambitious, measurable improvements in efficiency and growth.

Qualifications

  • 5-6+ years of product management experience in a tech-driven environment.
  • Strong domain expertise with systems thinking and operations-adjacent know-how.

Responsibilities

  • Own the product area vision, strategy, and outcomes for core product areas.
  • Collaborate with AI engineers to deliver AI-driven product experiences, including intelligent automation using LLMs.
  • Work with operations teams to enable tools and workflows that unlock efficiency through automation and AI.
  • Lead and inspire a cross-functional team to ship innovative experiences.
  • Balance long-term growth with immediate business needs through roadmaps and prioritization.
  • Define metrics to measure impact and monitor progress.

Skills

Product Ownership
AI/ML exposure
Cross-functional leadership
Data-driven
Communication
Ambiguity tolerance

Tools

LLMs
Agentic systems

Job description

Collective is seeking a Product Lead to drive execution across its foundational platform and shape customer and business outcomes. You will lead critical core product areas and expand into new verticals, embedding cutting-edge AI into the core product surface layer for scaled impact.

You will architect a category-defining function, work with AI engineers and operations teams, and guide an XFN team to deliver ambitious, measurable improvements in efficiency and growth.

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