← Back to jobs

Manager, Applied Ai Engineering (Codex)

openai

Híbrido San Francisco
AI

Job Score

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

About the Team

The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies.

The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate.


About the Role

We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex), leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development.

As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights.

Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeatable technical patterns that help engineering organizations get more value from AI.

This role is open in our San Francisco office. 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

  • Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts.

  • Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption.

  • Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.

  • Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges.

  • Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities.

  • Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development.

  • Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams.

  • Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering.

  • Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact.

  • Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.


You’ll Thrive in This Role If You

  • Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles.

  • Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.

  • Have experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments.

  • Possess strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.

  • Understand modern software development lifecycles and have strong intuition for how AI and coding agents can change how software is designed, built, tested, and maintained.

  • Can work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions.

  • Are an effective communicator who can translate complex technical and business topics for both engineering teams and executive stakeholders.

  • Thrive in ambiguous, fast-moving environments and enjoy building new operating models, technical patterns, and teams from first principles.

  • Demonstrate strong ownership, humility, technical judgment, and a commitment to helping both customers and teammates succeed.

  • Are personally committed to fostering the safe and beneficial development of AI.

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.

What did you think of this job?

Comments 0

Want to leave a comment?
Sign in or create your account in seconds to join the discussion.
Loading comments...

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 Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Graphic Designer

The Graphic Designer is the professional responsible for creating visual pieces for print and digital communication, from visual identity and logos to marketing materials and packaging. They combine creativity with technique to convey messages visually and impactfully.

Key skills include Adobe Photoshop, Illustrator, and InDesign, CorelDRAW, visual identity design, typography, color theory, packaging design, and motion graphics. Knowledge of vector illustration, offset/digital printing, and print production is a differentiator.

Graphic Designers in technology companies are highly valued, especially those who master social media design, infographics, and can create materials that strengthen brand visual identity. The field offers opportunities from junior graphic designer to art director and design director.

About UX Design

The User Experience (UX) Design area focuses on optimizing the overall user experience when interacting with a product or service. UX professionals conduct user research (UX Research), map journeys, create wireframes, perform usability tests, and define navigation flows to ensure the product is intuitive, useful, and meets users' real needs.

About Project Management

Project Management is essential to ensure strategic initiatives are delivered on time, within scope, and with quality. PM professionals coordinate teams, manage risks, and communicate with stakeholders.

Key methodologies include PMBOK, PRINCE2, Scrum, and Kanban. Tools like Jira, Asana, Monday, and MS Project are widely used in daily work.

Certifications like PMP and PgMP are important differentiators in the market, with growing demand in technology and consulting companies.

About Backend

The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.

Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).

Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.

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

Landing Top-Tier Traffic Analyst and SEO Roles

The New Era of Performance Marketing

The digital marketing landscape has undergone a radical transformation in recent years. The era of the "button pusher" who merely launched Meta Ads campaigns or stuffed keywords into WordPress is officially over. Today, companies—especially top-tier US startups and global tech corporations offering six-figure compensations—are looking for analytical, Growth-focused, and highly Data-Driven professionals.

Whether managing multi-million dollar paid media budgets or optimizing site architecture for the new AI-driven search engines, the Traffic and SEO Analyst has become the engine of predictable revenue for tech companies worldwide.

1. Technical SEO and the AI Revolution (SGE)

With Google's introduction of the Search Generative Experience (SGE), SEO is no longer just about backlinks and search volume. It now requires a deep understanding of search intent and topical authority.

What Tech Recruiters are looking for:

  • Technical SEO Mastery: The ability to analyze Core Web Vitals, manage Crawl Budgets, and optimize JavaScript rendering (a critical factor for modern frameworks like React and Next.js).
  • Advanced Data Analysis: Fluency in enterprise tools such as Screaming Frog, Semrush, Ahrefs, and Google Search Console.
  • Focus on E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. Understanding how to structure content so that Google's algorithm recognizes it as a reliable primary source.
"Modern SEO success requires you to stop optimizing for algorithms and start optimizing for the user journey, using technical data to remove any friction along the way." — Google Search Central Guidelines

2. Paid Traffic: From Operational to Strategic

In the realm of paid media (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads), platform automation handles most of the bidding work (Smart Bidding). The modern candidate's competitive edge lies in acquisition strategy and financial viability analysis.

Metrics you must master for your interviews:

  1. CAC (Customer Acquisition Cost): Moving beyond Cost Per Click (CPC). Understanding exactly how much it costs to acquire a paying user.
  2. LTV (Lifetime Value): Knowing how to cross-reference acquisition costs with the value a customer brings to the company over time (LTV:CAC ratio).
  3. ROAS vs. ROI: Grasping the crucial difference between the direct return on ad spend (ROAS) and the actual return on investment for the entire business (ROI).
  4. Server-Side Tracking: With the deprecation of third-party cookies, mastering the Conversions API and Google Tag Manager (GTM) Server-Side is a massive senior requirement.

3. Building an Unbeatable Portfolio

In the global remote market, degrees matter far less than proven results. Your portfolio shouldn't just be a resume; it should be a comprehensive document of Case Studies.

Structure your cases using the STAR method:

  • Situation: What was the baseline? E.g., "The e-commerce brand was burning $10k/month with a 1.2 ROAS."
  • Task: What was the goal? E.g., "Reduce CPA by 30% and increase non-branded organic traffic."
  • Action: What did YOU do technically? E.g., "Audited GTM, restructured PMax campaigns, and applied Schema markup in the HTML."
  • Result: The numerical impact. E.g., "Scaled ROAS to 3.8 and grew organic traffic by 45% in 3 months."

4. Certifications That Actually Open Doors

If you want to bypass strict Applicant Tracking Systems (ATS) like Greenhouse or Workday, ensure your LinkedIn and resume feature official certifications issued by the tech platforms themselves:

References and Must-Reads

To stay relevant in a market that changes weekly, we highly recommend following these official sources:

  1. Official Google Search Central Documentation.
  2. Annual State of Marketing Reports from HubSpot and Semrush.
  3. Technical articles focused on Data-Driven Marketing from the Harvard Business Review.

© 2026 Mondywork. Empowering career evolution in Tech, Design, and Digital Marketing.