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Product Marketing Lead, Chatgpt Work

openai

Híbrido San Francisco
AI Product Marketing Public Relations Advertising

Job Score

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

About the Team

The B2B Marketing team contributes to OpenAI's broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels.

About the Role

We're looking for a senior product marketing leader to own the strategy, narrative, and go-to-market direction for ChatGPT Work. This role will help define how professionals, teams, and organizations put AI to work on meaningful tasks, move from questions to completed work, and adopt new ways of working across their business.

You will serve as the senior product marketing owner for ChatGPT Work, shaping the category, setting portfolio priorities, and connecting product innovation to customer understanding, adoption, and growth. Your scope will span the Work experience across surfaces, connected tools, and AI-powered workflows, with a clear focus on the needs of professional users, Business customers, and Enterprise organizations.

This is a leadership role for someone who can set strategy, make difficult tradeoffs, and stay close enough to the work to shape the messaging, product decisions, launches, and programs that determine whether customers adopt. You will partner with Product, Growth, Sales, Research, Comms, Creative, and adjacent product marketing teams to build a coherent experience from first discovery through sustained team usage.

In this role, you will:

  • Own the ChatGPT Work product marketing strategy: Define the audience, market opportunity, positioning, competitive strategy, and go-to-market priorities across professional users, teams, and enterprise customers.

  • Build a clear and differentiated product narrative: Explain what ChatGPT Work enables, when to use it, how it differs from a traditional chat experience, and how it complements Codex and other OpenAI products.

  • Lead the portfolio across launches and sustained adoption: Set priorities for major product moments while ensuring that customer education, activation, recurring usage, and ongoing demand do not disappear between launches.

  • Translate product capabilities into useful customer workflows: Turn advances across web, desktop, mobile, connected tools, and AI-assisted work into concrete examples, demos, stories, and programs that show how people complete real work.

  • Drive adoption from first useful task to team-wide usage: Partner with Product, Growth, Lifecycle, Customer Education, and Sales to improve discovery, activation, repeat workflows, team adoption, and expansion.

  • Shape the product through customer and market insight: Bring customer research, usage data, field feedback, competitive intelligence, and observed workflow barriers into product, packaging, and go-to-market decisions.

  • Build enterprise confidence and field readiness: Work with the administrator and governance PMM, buyer-focused marketers, and customer-facing teams to connect user value with deployment requirements, customer proof, executive buy-in, and a credible enterprise story.

  • Lead cross-functional decisions and raise the quality bar: Align Product, Engineering, Growth, Creative, Comms, Sales, and Marketing around shared priorities; coach product marketers; and make clear choices about what matters most.

  • Measure whether the work is changing customer behavior: Define success using meaningful indicators such as qualified adoption, activation, repeat usage, retention, team penetration, customer preference, and business impact.

You might thrive in this role if you have:

  • 12+ years of experience in product marketing, product strategy, or closely related go-to-market leadership roles, including ownership of a complex software, platform, or AI product.

  • A strong track record of defining product and category strategy, not just executing launches or producing marketing assets.

  • Experience bringing products to market across both self-serve and enterprise motions, with an understanding of how individual usage grows into team adoption and organizational standardization.

  • Exceptional positioning, writing, and storytelling skills, with the ability to make sophisticated technology concrete and relevant to professional users and executive buyers.

  • Demonstrated success working closely with Product and Engineering to shape priorities, clarify tradeoffs, and turn customer insight into better product and go-to-market decisions.

  • Experience leading through influence, developing other product marketers, and earning trust with senior cross-functional stakeholders in a fast-moving environment.

  • Strong analytical judgment and experience connecting product marketing programs to adoption, retention, expansion, or other meaningful business outcomes.

  • A practical understanding of how knowledge workers use AI across functions such as operations, finance, marketing, sales, legal, or strategy.

  • High standards for craft, intellectual honesty, customer empathy, and clear communication in environments where products and market conditions change quickly.

  • Genuine curiosity about AI and hands-on experience using modern AI products to improve how work gets done.

Workplace & Location

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. Occasional travel will be required.

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.

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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.

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 Public Relations

The Public Relations (PR) area focuses on managing the reputation, image, and communication of an organization with its various stakeholders (such as clients, investors, employees, media, and the community). PR professionals develop corporate communication strategies, manage media relations (press relations), organize institutional events, and work in image crisis prevention and management.

About Advertising

The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.

Discover Other Areas

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

About Information Security

The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

About Business Intelligence

Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.

Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.

BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.

About SEO Analyst

The SEO Analyst is the professional responsible for optimizing websites for search engines, increasing organic visibility and qualified traffic. With the growing importance of digital marketing, SEO professionals are fundamental to any online presence strategy.

Key skills include on-page and off-page SEO, technical SEO, keyword research, SEO audits, link building, optimized content creation, and metrics analysis. Tools like Google Search Console, Google Analytics, Ahrefs, Semrush, Moz, and Screaming Frog are essential for daily work.

SEO analysts in technology companies are highly valued, especially those who master technical SEO, Core Web Vitals, and data-driven content strategies. The field offers opportunities from junior analyst to head of SEO, with a focus on organic growth, domain authority, and return on investment.

About Web3

The Web3 area represents the new phase of the decentralized internet, built on blockchain technology. Web3 professionals create decentralized applications (dApps), interact with smart contracts, manage digital assets (cryptocurrencies and NFTs), and utilize DeFi (Decentralized Finance) protocols, revolutionizing how data, ownership, and finance are managed online.

About Product Manager

The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.

Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.

Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).

Career Guides

Technology Career Guide

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

Read full guide →

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

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

Read full guide →

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.

Read full guide →

Product Career Guide

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

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Data-Driven: How Data Defines Company Success or Failure

The Data-Driven Era: How Data Culture Defines Company Success or Failure

Published by Mondywork | Category: Data / Business Intelligence

The End of Corporate Gut Feeling

In the past, major business decisions were made based on intuition, previous experience, or the famous "gut feeling" of directors (what the market refers to as the HiPPO - Highest Paid Person's Opinion). Today, however, in a highly competitive and globalized corporate ecosystem, relying on guesswork is the fastest recipe for bankruptcy.

Digital transformation didn't just connect processes; it generated a massive volume of information. The companies that thrive are those that know how to capture, clean, and transform this raw data into actionable insights.

"Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result."
— McKinsey Global Institute Study

What Does it Mean to Have a Data-Driven Culture?

Being Data-Driven doesn't just mean subscribing to expensive Analytics tools or having a beautiful dashboard on the office wall. It's a fundamental shift in organizational culture, where truth is sought in the numbers before any action is executed.

  • Predictability: Predictive models allow companies to forecast market trends, customer churn, and operational bottlenecks before they happen.
  • Risk Mitigation: Decisions based on statistics drastically reduce the margin of error in investments and new product launches.
  • Personalization at Scale: Behavioral analysis enables marketing to deliver exactly what the user wants, right when they have the highest propensity to buy.

The Impact of Business Intelligence (BI) and Big Data

To extract the true value from information, companies are building robust Business Intelligence (BI) and Big Data departments. ETL (Extract, Transform, Load) processes, Data Lakes architecture, and the mastery of software like Power BI and Tableau have become the backbone of top-tier US startups and unicorns.

The Harvard Business Review has repeatedly highlighted that the professional who can translate complex data into business language is a modern corporation's most valuable asset. It's not enough to have the data; you must know how to tell a story with it (Data Storytelling).

The Job Market: The Hunt for Data Talent

With this paradigm shift, the demand for Data Engineers, BI Analysts, Data Scientists, and Analytics Engineers has skyrocketed. International companies—especially in the US and Europe—are aggressively hiring global professionals for 100% US Remote roles, offering highly competitive six-figure compensation packages.

For these companies, which use rigorous Applicant Tracking Systems (ATS like Ashby, Workday, and Greenhouse), the ideal candidate is one who seamlessly blends technical mastery (SQL, Python, DAX) with a sharp business acumen.


References and Recommended Reading

  • McKinsey & Company: The data-driven enterprise of 2025.
  • Harvard Business Review: How to Build a Data-Driven Culture.
  • Gartner: Top Trends in Data and Analytics.

Master the art of turning data into revenue?

The best US startups and global tech companies are actively looking for analytical professionals like you, offering remote roles with premium compensation. Don't miss out on the top Data, BI, and Machine Learning opportunities in the market.