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Pattern

Technical Product Manager, AI

lehi, UT

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Job description

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, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com 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.

Job Overview

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.

Responsibilities

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.

Qualifications

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.

Execution & Completion

Consistently delivers robust, scalable technical product features on schedule while driving practical AI adoption within the platform.

Successfully converts ambiguous stakeholder needs into clearly defined, high-impact technical solutions and specs.

Acts as an effective bridge between technical and non-technical teams, elevating the team’s overall technical standard and AI fluency.

Champions a culture of rapid experimentation, continuous learning, and action-oriented problem solving across Pattern Labs.

Opportunities

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.

Roadmap

30 Days: Develop a comprehensive understanding of Pattern's data architecture, current AI capabilities, and Pattern Labs' product roadmap; establish key working relationships with stakeholders and engineering leads.

60 Days: Take ownership of key technical product backlogs, refine existing specs, and actively lead sprint planning and feature scoping for upcoming AI initiatives.

90 Days: Successfully launch an AI-driven product feature or system enhancement; present a multi-quarter technical roadmap for Pattern Labs aligned with broader strategic business goals.

Team & Leadership

This role reports directly to the Director of AI Research. You will be joining a growing team of AI researchers, data scientists, and engineers in the Pattern Labs department. In this role, you will collaborate closely with Software Engineers, Data Scientists, and Senior Product Managers as well as other departments including Engineering, Executive Leadership, Strategy, and Operations. This position is mentored by the Director of AI Research & Development.

Ideal Candidates

Game Changers - A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.

Data Fanatics - A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.

Partner Obsessed - An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.

Team of Doers - Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

Interview Process

Phone Interview

Video Interview

Technical Review

Reference Checks

Executive Review

Offer

Strong Nice-to-Haves

Hands-on experience building or managing products utilizing Generative AI, LLMs, or agentic frameworks.

Experience founding a startup, side project, or leading an entrepreneurial venture from 0 to 1.

Experience with high-scale e-commerce marketplaces or data infrastructure systems.

Interview Tips

Highlight real-world side projects, personal AI experiments, or practical applications of modern AI tools you've explored on your own time.

Demonstrate how you translate complex stakeholder pain points into clean, structured system architectures and product requirements.

Share concrete examples of when you took an entrepreneurial approach to solve an ambiguous business or technical problem.

Why should I work at Pattern?

Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:

Unlimited PTO

Paid Holidays

Onsite Fitness Center

Company Paid Life Insurance

Casual Dress Code

Competitive Pay

Health, Vision, and Dental Insurance

401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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Worksite address

lehi, UT, 84043, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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