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Software Engineer, Chatgpt Shopping

openai

Híbrido San Francisco
Development AI

Job Score

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

About the Team

ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways.

This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day.

About the Role

We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up.

You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people.

This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications.

In This Role, You Will

  • Design and build end-to-end product experiences across web services, APIs, and modern frontend applications.

  • Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences.

  • Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful.

  • Develop scalable backend systems that power personalized, real-time product experiences.

  • Work with multimodal capabilities including text, images, and interactive UI components.

  • Iterate quickly using user feedback, experimentation, and product metrics.

  • Help define engineering standards, architecture, and technical direction for a fast-growing product area.

You Might Thrive If You

  • Have significant experience building consumer-facing products end to end.

  • Are comfortable moving across frontend, backend, infrastructure, and product architecture.

  • Care deeply about craft, user experience, and product quality.

  • Enjoy ambiguity and are energized by taking ideas from zero to one.

  • Think like both an engineer and a product builder.

  • Have strong systems thinking while maintaining exceptional attention to detail.

  • Communicate well across engineering, design, product, and research teams.

Preferred Qualifications

  • Strong experience with modern frontend technologies (React, TypeScript, Next.js, or similar).

  • Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies.

  • Familiarity with distributed systems, APIs, and cloud infrastructure.

  • Experience building highly interactive consumer products.

  • Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems is a plus.

  • A track record of shipping products quickly while maintaining engineering quality.

What Success Looks Like

Successful engineers on this team combine strong technical execution with excellent product judgment. They move fluidly between prototyping and production systems, collaborate effectively across disciplines, and consistently deliver experiences that feel intuitive, elegant, and magical to users.

They are excited by fast iteration, comfortable making decisions with imperfect information, and motivated by building products that redefine how people use AI every day.

Why OpenAI

At OpenAI, you'll work alongside some of the world's best researchers, engineers, designers, and product thinkers to build AI that benefits everyone. We value curiosity, ownership, humility, and a bias toward shipping impactful products.

If you're excited about inventing new consumer experiences powered by frontier AI—and want to help shape the future of how millions of people interact with technology—we'd love to hear from you.

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 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.

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 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 Blockchain

The Blockchain area involves the development and implementation of secure and distributed transaction ledgers. Professionals in this field work with smart contract development, cryptography, consensus algorithms, and platforms such as Ethereum, Hyperledger, and Solana, ensuring security and decentralization for various types of applications.

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 Content Writer

The Content Writer is the professional responsible for creating quality written content for websites, blogs, social media, and other digital platforms. They combine writing skills with content strategy and SEO to attract, engage, and convert audiences.

Key skills include blog content creation, landing pages, newsletters, social media content, keyword research, content strategy, editorial calendar, and SEO writing. Knowledge of WordPress, Surfer SEO, Ahrefs, and analytics tools is a differentiator.

Content Writers in technology companies are highly valued, especially those who can create accessible technical content, evergreen content, and content that generates organic traffic. The field offers opportunities from junior content writer to head of content, with a focus on quality, strategy, and content performance.

About Agile

The Agile and Digital Transformation area is fundamental for organizations seeking efficiency and rapid adaptation. Agile professionals facilitate processes, eliminate bottlenecks, and promote a culture of continuous improvement.

Key certifications include CSM, PSM, SAFe, ICP, and Kanban. Knowledge of Scrum, Kanban, XP, and agile frameworks is essential, as are leadership and facilitation soft skills.

Senior Agile coaches and Scrum Masters are highly valued, especially in technology companies that adopt agile methodologies at scale.

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.

Read full guide →

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.

Read full guide →

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.

Read full guide →

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.

Read full guide →

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

Why the Data Era Has Never Been More Profitable

Discover how BI professionals are shaping the corporate future, driving strategic decision-making, and landing the best global remote jobs in the market.

Reading time: 5 minutes | Category: Data / BI

The Data Market Explosion

A decade ago, oil was considered the world's most valuable resource; today, that title indisputably belongs to data. However, raw data without interpretation is just noise. It is exactly at this turning point that the Business Intelligence (BI) market exploded in demand and financial valuation.

Companies of all sizes, from agile startups to global unicorns, have realized they can no longer base their decisions on guesswork. The BI professional has become the architect of financial and operational predictability. According to Gartner, in its annual reports on the Magic Quadrant for Analytics and BI, adopting business intelligence platforms is no longer a competitive advantage, but a matter of corporate survival.

The Required Profile: Way Beyond the Dashboard

The biggest mistake professionals make when trying to transition into Business Intelligence is believing the job comes down to creating pretty visual panels (Dashboards). Today's market, especially international companies paying six-figure salaries, requires a deep analytical mindset combined with solid technical skills.

Tech Recruiters are configuring their ATS systems (like Greenhouse and Ashby) to filter candidates who master the following verticals:

  • Data Modeling and ETL: The ability to Extract, Transform, and Load data from multiple sources into a Data Warehouse or Data Lake.
  • Query Languages: Advanced proficiency in SQL remains the backbone of any data operation.
  • Advanced Visualization: Tools like Microsoft Power BI (with deep knowledge in DAX), Tableau, and Looker are mandatory requirements.
  • Critical Thinking & Business Acumen: As highlighted by the Harvard Business Review, data professionals must translate technical complexity into clear answers for C-Level executives.

Compensation and the Global Job Route (US Remote)

The Business Intelligence market is perfectly adaptable to the Remote Worldwide model. Because the work essentially deals with cloud infrastructure and logical analysis, geographical barriers have been completely eliminated.

"The ability to analyze massive volumes of data and extract actionable insights is the most valued skill in the new digital economy. The global market is literally buying intelligence."

For global professionals, this represents a golden opportunity. North American and European startups are actively seeking Senior BI talent to work remotely, offering compensation in strong currencies (USD and EUR) through B2B contracts. Base salaries that easily surpass the $80,000 to $120,000+ range (six-figure compensation) are a common reality for Mid-level and Senior analysts who have fluent English and a robust analytical portfolio.

How to Stand Out in the Technical Interview

To break through the technical interview barrier for premium BI positions, candidates must prepare a problem-oriented portfolio. Instead of presenting a generic sales dashboard, showcase a documented case study. Show the data source, how the SQL was structured for cleansing, which predictive or statistical models were applied, and, most importantly, what was the financial impact (ROI) of that analysis.