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Partner Applied Ai Engineer

openai

Híbrido San Francisco
AI

Job Score

90 pts
Hybrid model (+80) AI (+10)

About the team

The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.

As a Partner Applied AI Engineer, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are looking for a driven solutions leader with a product mindset as one og the the founding Partner AIE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture.

This role is based in San Francisco, CA or New York, NY. 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:

  • Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.

  • Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.

  • Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.

  • Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.

  • Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.

  • Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.

  • Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases.

  • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.


You’ll thrive in this role if you:

  • Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

  • Have led complex technical projects and programs with many stakeholders, ideally within or through an SI.

  • Have industry experience in programming languages like Python or Javascript.

  • Have led complex implementations of Generative AI and/or traditional ML solutions.

  • Have built and/or delivered prototypes using the OpenAI API.

  • Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 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

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About Design

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Copywriting professionals in technology companies are highly valued, especially those who master copy for landing pages, email sequences, and funnel content. The field offers opportunities from junior copywriter to head of copy, with a focus on creativity, persuasion, and performance.

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The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

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Talent Acquisition is the strategic area responsible for attracting, selecting, and hiring the best professionals for the organization. Unlike traditional recruitment, TA acts as a strategic business partner, aligning talent acquisition with the company's long-term objectives.

Key skills include advanced sourcing, employer branding, labor market analysis, talent pipeline management, and candidate experience. Tools like LinkedIn Recruiter, ATS (Greenhouse, Lever, Ashby), and assessment platforms are essential.

TA professionals in technology companies are highly valued, especially those who master tech sourcing, workforce planning, and recruitment metrics like time-to-hire and cost-per-hire.

Career Guides

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Design Career Guide

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Communication Career Guide

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Administration Career Guide

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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

How to Build an Unbeatable Resume in 2026

At Mondywork, our engine analyzes hundreds of the best remote jobs daily. If there's one thing we've learned from observing the backend of elite recruiting platforms like Greenhouse, Ashby, and Workday, it's this: a good resume isn't the prettiest one; it's the most efficient one.

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1. The 7.4-Second Rule (The Skimming Test)

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"Accomplished [X] as measured by [Y], by doing [Z]."

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Pro Tip: Whether you're in Digital Marketing, Design, or Tech, use hard metrics. Talk about conversion percentages, cost reductions, active user growth, or hours saved.

3. Beat the Bots: ATS Optimization

Over 99% of Fortune 500 companies and a vast majority of tech startups use ATS (Applicant Tracking Systems). These are software programs that read and filter resumes before a human ever lays eyes on them.

Austin Belcak, founder of Cultivated Culture and employability expert, analyzed over 125,000 resumes and found that complex formatting is the number one enemy of getting hired.

How to pass the ATS filter:

  • Ditch the Canvas (mostly): Resumes with dual columns, skill progress bars (e.g., "70% in JavaScript"), and graphic icons frequently confuse bots, which extract text in a jumbled mess.
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  • Keyword Mirroring: ATS software runs on keywords. Read the job description on Mondywork and ensure the required hard skills (e.g., React, SEO, Figma, Agile) are explicitly written on your resume.

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The traditional "Objective" statement ("Looking for an opportunity to grow within the company") is dead. Today, what works is the Executive Summary.

Use 3 or 4 lines at the very top of your resume to define who you are, your core specialty, and your biggest career win.

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