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Marketing Scientist

openai

Híbrido New York City
Uncategorized

Job Score

80 pts
Hybrid model (+80)

About the Team
OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.
About the Role

We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution.

Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, visitation, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on.

This New York or San Francisco based role will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to OpenAI’s data interfaces, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale.

In this role you will:

  • Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.

  • Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.

  • Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.

  • Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.

  • Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.

  • Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

You will thrive in this role if you:

  • Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM.

  • Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment.

  • Are a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment.

  • Have designed or operated lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards.

  • Bring experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements.

  • Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities.

  • Can translate complex statistical concepts into practical decisions for both technical and non-technical audiences.

  • Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority.

  • Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.

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.

Discover Other Areas

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

About Sales

The Sales area is responsible for generating revenue and expanding the customer base. B2B and B2C sales professionals are fundamental for sustainable growth of any organization.

Key skills include prospecting, negotiation, CRM (Salesforce, HubSpot), sales enablement, and value consulting. The consultative and data-driven approach is increasingly valued.

Consultative sellers and senior Sales Managers have very high earning potential, with OTE (On-Target Earnings) that can exceed monthly salaries in technology companies.

About Photography

The Photography area encompasses the capture, editing, and processing of static images for commercial, advertising, editorial, or artistic purposes. Professionals in this field master lighting techniques, visual composition, camera and lens operation, as well as the use of specialized editing and post-processing software such as Adobe Photoshop and Lightroom.

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).

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 Ecommerce Manager

The Ecommerce Manager is the professional responsible for the entire strategic and operational management of online stores and marketplaces. They lead teams, define pricing, promotion, and catalog strategies, and monitor online sales performance across multiple platforms.

Key skills include catalog management, dynamic pricing, seasonal campaigns (Black Friday, Cyber Monday), marketplace management (Amazon, Mercado Livre, Shopee, Magalu), paid traffic, CRO, and team management. Knowledge of Shopify, VTEX, WooCommerce, Google Ads, Meta Ads, and performance metrics is a differentiator.

Ecommerce Managers in technology companies are highly valued, especially those who master multi-marketplace management, checkout optimization, and mobile commerce strategies. The field offers opportunities from ecommerce manager to head of ecommerce, with a focus on revenue, customer experience, and growth.

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.

Read full guide →

Marketing Career Guide

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

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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.

Read full guide →

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.