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Product Manager, Chatgpt Sites

openai

Híbrido San Francisco
AI Product

Job Score

100 pts
Hybrid model (+80) AI (+10) Product (+10)

About the Team:

The ChatGPT team builds products that help people and organizations turn ideas into useful software, workflows, and experiences with AI. We work across research, engineering, design, safety, go-to-market, and operations to bring powerful AI capabilities into products that are intuitive, reliable, and trusted.

About the Role:

We’re looking for a deeply technical Product Manager to lead ChatGPT Sites, a product area focused on helping users create, run, and manage software-powered experiences with ChatGPT.

The ideal candidate is a builder: someone with a software engineering background who has built and shipped real systems, understands modern development workflows, and wants to translate that experience into product leadership. You should be comfortable reasoning about backend systems, authentication, storage, application architecture, deployment workflows, enterprise requirements, and developer experience.

You’ll work closely with engineering and research to define how ChatGPT can help users move from idea to working software, while scaling the product for both individual creators and enterprise customers. You’ll be responsible for shaping a technically complex product area at the intersection of AI agents, software development, infrastructure, and end-user experience.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

Own the product strategy, roadmap, and execution for ChatGPT Sites.

Partner closely with engineering, research, design, safety, security, data, go-to-market, and customer-facing teams to build robust product experiences.

Define product requirements for a full-stack product surface, including user experience, backend capabilities, identity, storage, reliability, permissions, and enterprise readiness.

Work with engineering to reason through technical tradeoffs across architecture, scalability, performance, reliability, and user experience.

Build for a wide range of users, from consumers creating their first software-powered experience to enterprises adopting AI-assisted development workflows.

Develop product capabilities that help users create, modify, deploy, and manage software more effectively with AI.

Translate ambiguous technical possibilities into clear product direction, milestones, and success metrics.

Represent user needs across developer experience, enterprise administration, safety, security, and usability.

Help establish the quality, trust, and operational standards needed for AI-assisted software creation at scale.

You might thrive in this role if you:

  • Have 5+ years of experience across product management, software engineering, technical leadership, founder/operator roles, or equivalent hands-on product-building experience.

  • Have a software engineering background or meaningful hands-on experience building and shipping production software.

  • Are comfortable discussing system design, APIs, authentication, storage, deployment, observability, reliability, and enterprise requirements with engineering teams.

  • Have a strong product judgement and can turn technically complex systems into simple useful user experiences.

  • Are excited by developer tools, AI assisted coding, DevOps, infrastructure, and the future of software development.

  • Can operate from first principles in ambiguous, fast moving environments.

  • Have experience building products for both individual users and enterprise customers.

  • Are highly collaborative and can align engineering, research, design, safety, security, and business stakeholders around clear product priorities.

  • Care deeply about craft, reliability, trust, and making powerful technical systems accessible to broad audiences.

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Product Management

Product Management is one of the most strategically relevant areas in technology organizations. The Product Manager is responsible for defining product vision, prioritizing features, and coordinating multidisciplinary teams to deliver value to users.

Essential skills include strategic thinking, data analysis, communication, leadership, and technical knowledge. Tools like Jira, Confluence, Miro, and analytics platforms are fundamental in daily work.

Salaries for PMs range from entry-level to senior positions at major tech companies, with growing opportunities for international remote work.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Account Manager

The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.

Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.

Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.

About Automation Engineer

The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.

Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.

Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.

About Marketing

The Marketing area is strategic for the growth and positioning of any company. It encompasses traditional marketing, brand management, market research, trade marketing, product marketing, and market intelligence. Marketing professionals are responsible for planning and executing strategies that connect brands to their target audience.

Key skills include brand management, market research, competitive analysis, product marketing, trade marketing, pricing, relationship marketing, and channel development. Knowledge of research tools (Nielsen, Kantar, Ipsos), BI, and advanced spreadsheets is a differentiator.

Marketing professionals in technology companies are highly valued, especially those who master product marketing, go-to-market strategy, and data-driven marketing. The field offers opportunities from analyst to CMO, with a focus on growth, brand positioning, and return on investment.

About Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

About Software Development

Software Development is one of the most dynamic and constantly evolving fields in the job market. Professionals in this area are responsible for creating, maintaining, and optimizing web, mobile, and desktop applications that impact millions of users daily.

Key languages and frameworks include JavaScript (React, Node.js, Vue.js), Python (Django, Flask), Java (Spring), PHP (Laravel), and TypeScript. Demand for full-stack developers continues to grow, especially in tech companies and startups.

Salaries range from entry-level to senior positions, with growing opportunities for remote work and international freelancing.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Expert Tip

Generative Design and AI as a Co-pilot

If the last decade in digital design was defined by mobile standardization and UX/UI becoming the core of product development, 2026 marks the dawn of a new era. We are no longer designing just for flat glass screens; we are building intelligent ecosystems, three-dimensional environments, and autonomous algorithms.

For designers looking to stand out and secure the best six-figure remote opportunities in the US tech market, understanding where the industry is heading is no longer a "nice-to-have" differential—it's a matter of professional survival. Below, we break down the four major trends that will dictate hiring and compensation in the 2026 design landscape.

1. Generative Design and AI as a Co-pilot (Not a Replacement)

The fear of Artificial Intelligence replacing designers is officially in the past. In 2026, generative AI is deeply and natively integrated into industry-standard tools like Figma, Adobe, and Framer. The most valued skill by top-tier tech companies is no longer speed in aligning components, but rather algorithmic art direction and prompt design.

  • UI Automation: Wireframing, component variations, and complex design systems can now be generated with a few text prompts.
  • The Designer's New Role: Professionals are shifting from operational executors to curators and strategists, ensuring that AI-generated outputs align with user psychology and core business objectives.

2. Spatial Design and Spatial Computing

With the maturation of mixed reality devices (such as the Apple Vision Pro and Meta's advanced lineups), Spatial Design has evolved from an experimental niche to a mandatory department in Big Tech and forward-thinking startups.

Designing for spatial computing requires a complete paradigm shift: designers must understand Z-axis depth, visual ergonomics, spatial audio, and interactions based on eye-tracking and hand gestures. Roles like AR/VR Product Designer and 3D Interaction Designer are seeing an exponential jump in job listings, often paired with premium compensation packages.

3. Conversation Design and Invisible Interfaces (Zero-UI)

Driven by the omnipresence of Large Language Models (LLMs), the way users interact with systems has fundamentally changed. In 2026, many of the best interfaces don't rely on buttons or hamburger menus; they are conversational. UX Writing and Conversation Design have taken center stage.

  • The Challenge: How do you design the "personality" and flow of a virtual assistant so it feels natural, empathetic, and on-brand, rather than like a rigid robot?
  • The Opportunity: Designers who know how to map complex decision trees, create logical flows for voice and text, and train the empathy of AI models are being heavily scouted by top US startups.

4. Digital Sustainability and Eco-Design

The ESG (Environmental, Social, and Governance) agenda has finally reached the product design tables. The internet consumes a massive amount of energy, and in 2026, tech companies are being strictly held accountable for their digital carbon footprint.

Enter the demand for Digital Eco-Design. This involves creating lighter interfaces, optimizing user flows to reduce screen time (saving battery life and server processing power), and adopting color palettes and assets (like SVGs instead of heavy raster images) that require less energy to render. Being a sustainable designer has become a powerful B2B selling point for agencies and freelancers alike.

Conclusion: The Evolution of Talent

The 2026 design market is highly rewarding for those who embrace complexity. The barrier to entry for making "pretty screens" has dropped significantly, but the demand for professionals who can solve intricate business problems through empathy, strategy, and the mastery of new technologies has never been higher.

If you want to stay ahead of the curve and get direct access to the remote jobs that are actively looking for these specific skills, make sure to follow Mondywork's daily curation. The future of design is hybrid, remote, and full of opportunities.