AI-Driven Technical Product Manager

Pattern Inc.

Lehi (UT)

On-site

USD 120,000 - 190,000

Full time

6 days ago
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Benefits offered by this job

Unlimited PTO
Paid Holidays
Onsite Fitness Center
Company Paid Life Insurance
Casual Dress Code
Competitive Pay
Health, Vision, and Dental Insurance
401(k) match

Job summary

Pattern Inc. is seeking a Technical Product Manager for Pattern Labs to bridge AI technology with business value.

You will drive product innovation by turning AI capabilities into scalable marketplace solutions and partner with stakeholders to reshape how global brands leverage ecommerce AI. You will collaborate with engineering, data science, and AI research teams, design end-to-end AI features, and track performance metrics to optimize the platform.

Qualifications

  • Experience bridging business strategy and technical execution.
  • Strong passion for AI/ML and eagerness to apply new technologies.
  • Excellent communication and stakeholder management to translate needs into specs.

Responsibilities

  • Translate business goals into clear technical product requirements and architectures.
  • Collaborate with engineering, data science, and AI research to design and deploy AI-driven products.
  • continually explore and integrate emerging AI tools and workflows within Pattern Labs.
  • Define and track KPIs to evaluate product performance and drive optimization.
  • Communicate complex AI roadmaps to technical teams and business stakeholders.

Skills

Technical background
Technical product management
AI/ML interest
Data architecture
Stakeholder management

Tools

AI tools
ML frameworks

Job description

Pattern Inc. is seeking a Technical Product Manager for Pattern Labs to bridge AI technology with business value.

You will drive product innovation by turning AI capabilities into scalable marketplace solutions and partner with stakeholders to reshape how global brands leverage ecommerce AI. You will collaborate with engineering, data science, and AI research teams, design end-to-end AI features, and track performance metrics to optimize the platform.

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