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Technical Product Manager, AI

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Pattern Inc.
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.

To learn more, visit  or email

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

As a Technical Product Manager at Pattern Labs, you will bridge the gap between complex AI technology and strategic business value. Operating with an entrepreneurial mindset, you will drive product innovation by turning cutting-edge AI capabilities into actionable, scalable marketplace solutions. This high-impact role empowers you to work closely with key stakeholders to reshape how global brands dominate e-commerce through intelligent systems.

What is a day in the life of a Technical Product Manager?
  • Translate business goals and stakeholder needs into clear technical product requirements and systems architectures.
  • Collaborate closely with engineering, data science, and AI research teams to design, build, and deploy AI-driven products.
  • Continually explore, evaluate, and integrate emerging AI tools and workflows into the Pattern Labs ecosystem.
  • Define and track key performance metrics to evaluate product performance and drive continuous optimization.
  • Communicate complex technical concepts and AI roadmaps clearly to both technical teams and business stakeholders.
What will I need to thrive in this role?
  • Strong technical background with a deep understanding of software systems, data architecture, and modern tech stacks.
  • Proven experience in technical product management, successfully bridging business strategy and technical execution.
  • A deep passion for artificial intelligence, machine learning, and a drive to continuously learn and apply new AI technologies.
  • An entrepreneurial mindset—proactive, resourceful, agile, and ownership-driven.
  • Excellent communication and stakeholder management skills to align business goals with technical capabilities.
What does high performance look like?
  • Execution & Completion: Consistently delivers robust, scalable technical product features on schedule while driving practical AI adoption within the platform.
  • Execution & Completion: Successfully converts ambiguous stakeholder needs into clearly defined, high-impact technical solutions and specs.
  • Team Impact: Acts as an effective bridge between technical and non-technical teams, elevating the team’s overall technical standard and AI fluency.
  • Team Impact: Champions a culture of rapid experimentation, continuous learning, and action-oriented problem solving across Pattern Labs.
What is my potential for career growth?
  • Opportunity to lead foundational AI initiatives at one of the fastest-growing e-commerce acceleration platforms.
  • Exposure to executive leadership and key cross‑functional stakeholders across the business.
  • Direct trajectory toward senior product leadership roles within Pattern Labs and the broader product organization.
  • Continuous hands‑on exposure and skill expansion in frontier AI technologies and machine learning architectures.
What does success look like in the first 30, 60, 90 days?
  • 30 Days: Develop a comprehensive understanding of Pattern’s data architecture, current AI capabilities, and Pattern Labs' product roadmap; establish…
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