Technical Product Manager, AI

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 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.

What is the team like?

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.

Sounds great! What’s the company culture?

We are looking for individuals who are:

• 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.
  

What is the hiring process?

1. Phone Interview

2. Video Interview

3. Technical Review

4. Reference Checks

5. Executive Review

6. Offer

How can I stand out as an applicant?

• 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.