Why This Job is Featured on The SaaS Jobs
This Product Manager, Shopping role stands out in SaaS because it sits where AI-native applications meet a transaction-oriented user journey. Building shopping experiences inside ChatGPT implies product work that spans discovery, relevance, and decision support, with outcomes shaped by model capabilities as much as traditional UI. The remit also touches merchant and product data ecosystems, a common frontier for SaaS products that need reliable integrations and high-quality structured information.
For a SaaS career, the durable value here is learning how to turn platform technology into repeatable product surfaces that can be measured, iterated, and scaled. The role signals exposure to multi-disciplinary product development across engineering, research, and design, plus the practical constraints of trust, quality, and feedback loops when AI systems influence user choices. That combination translates well to other SaaS environments adopting AI features across core workflows.
This role is best suited to product leaders who enjoy ambiguity, can balance user outcomes with technical tradeoffs, and are comfortable operating across multiple domains rather than a single feature area. It will likely appeal to professionals who want their PM scope to include ecosystem thinking, partner dependencies, and rigorous evaluation of impact in a consumer-facing SaaS context.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team:
The Shopping team is building the future of how people discover, evaluate, and purchase products through AI. Our mission is to help users make better purchasing decisions by combining OpenAI’s models with rich product information, merchant ecosystems, and personalized experiences. We sit at the intersection of AI, commerce, search, recommendations, and consumer product experiences, partnering closely with product, engineering, research, design, and business teams to reimagine shopping for the AI era.
About the Role:
As a Product Manager on the Shopping team, you’ll define and build the next generation of AI-powered shopping experiences within ChatGPT. You’ll be responsible for understanding user needs, identifying opportunities to improve product discovery and decision-making, and delivering experiences that help users confidently find and purchase the products that are right for them.
You’ll work across a broad set of domains, including search, recommendations, personalization, merchant and product ecosystems, and conversational commerce. This role requires strong product judgment, comfort operating in ambiguity, and the ability to balance user value, business objectives, and technical constraints. You’ll partner closely with engineers, designers, researchers, and cross-functional stakeholders to bring new shopping experiences from concept to scale.
This is an opportunity to help define an entirely new category at the intersection of AI and commerce, shaping how millions of users discover and buy products in the future.
This position is based in San Francisco, CA, with relocation assistance available.
In this role, you will:
Define and drive the product vision for shopping experiences in ChatGPT.
Partner with research teams to explore how AI can help users discover, evaluate, and confidently purchase products.
Collaborate with cross-functional teams—including design, engineering, product, and go-to-market—to build and scale AI-native shopping experiences.
Partner with growth, GTM, marketing, and business teams to drive user adoption, merchant engagement, and ecosystem growth.
Work with merchants, brands, retailers, and external partners to improve product quality, shopping experiences, and user outcomes while ensuring recommendations remain trustworthy and user-centric.
Use both data and user feedback to identify opportunities, measure impact, and inform product strategy.
You might thrive in this role if you:
Have 10+ years of product management experience with strong leadership, cross-functional collaboration, and communication skills.
Bring experience in shopping, e-commerce, marketplaces, search, recommendations, consumer growth, or related product areas.
Have built and scaled impactful consumer products serving large and diverse user bases.
Are comfortable navigating ambiguity and excited about defining a new category at the intersection of AI, commerce, and consumer experiences.
Are motivated by OpenAI's mission and excited to shape how millions of people discover, evaluate, and purchase products with AI.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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