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Manager, Applied Ai Engineering (Codex)

openai

Híbrido Munich, Germany
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 Munich and Berlin offices. 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.

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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.

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About Human Resources

The Human Resources area is responsible for all people management in organizations, from attracting and selecting talent to developing, retaining, and ensuring employee well-being. HR professionals are fundamental to building strong organizational cultures and engagement.

Key skills include recruitment and selection, compensation and benefits management, learning and development (L&D), organizational climate, employee engagement, labor law, labor relations, and HR tools (Workday, SAP SuccessFactors, Bamboo HR). Knowledge of people analytics and data-driven HR is a differentiator.

HR professionals in technology companies are highly valued, especially those who master employer branding, people analytics, and talent retention strategies. The field offers opportunities from HR analyst to Chief People Officer, with a focus on culture, engagement, and people growth.

About Mobile Development

Mobile Development is one of the most dynamic and constantly evolving fields in the technology market. With billions of smartphones worldwide, the demand for qualified mobile developers continues to grow exponentially.

Key stacks include Flutter (Dart), React Native (JavaScript/TypeScript), Kotlin (Android native), Swift (iOS native), and hybrid frameworks like Ionic and Capacitor. Knowledge of mobile architecture (MVVM, Clean Architecture), mobile CI/CD (Fastlane, Bitrise, Codemagic), and App Store/Google Play publishing are essential.

Senior mobile developers are highly valued professionals, with competitive salaries and many remote work opportunities at international companies. Specializing in cross-platform or native is a strategic career decision.

About Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

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.

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About Automation Analyst

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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

The Current State of the Cloud & DevOps Market

By Mondywork | The ultimate guide for tech professionals looking to level up their careers, land global remote roles, and master modern infrastructure.

The End of the "SysAdmin" and the Rise of Platform Engineering

If you've been tracking the most sought-after roles at startups and Fortune 500 companies, you've probably noticed a drastic shift. The Cloud Computing and DevOps market is no longer just about "keeping the app online." Today, companies demand extreme resilience, automation, and cost optimization (the famous FinOps).

DevOps culture has evolved. We are now in the era of Platform Engineering, where infrastructure teams build internal platforms to grant developers full autonomy (Self-Service). For those aiming for global remote roles with six-figure compensation, understanding this transition isn't just a plus—it's a strict requirement.

"Elite DevOps teams deploy code 973 times more frequently and boast a Mean Time To Recovery (MTTR) that is 6,570 times faster than low-performing teams."

— State of DevOps Report (DORA / Google Cloud)

What Do Recruiters and ATS Systems Really Look For?

Automated filters (ATS platforms like Greenhouse, Ashby, and Workday) are hardwired to scan for a very specific set of skills in Cloud/DevOps resumes. Simply listing 20 tools won't cut it anymore; you must demonstrate culture and real-world impact.

  • Infrastructure as Code (IaC): Forget clicking around the AWS console. Declarative tools like Terraform, Pulumi, and Ansible are the true industry standards.
  • Container Orchestration: Mastery of Docker and, above all, Kubernetes (K8s) is practically mandatory for premium roles.
  • CI/CD Culture: Building automated pipelines (GitHub Actions, GitLab CI, ArgoCD) that guarantee continuous and secure deployments.
  • Cloud Providers and Architecture: Proficiency in at least one major public cloud provider (AWS, Google Cloud, or Microsoft Azure), with a strong focus on Serverless, microservices, and system resilience.

How to Transition: The Roadmap to Success

Many Back-End developers, support analysts, and network professionals want to pivot to Cloud and DevOps. If that's your goal, follow this market-validated roadmap:

  1. Master the Basics (Linux and Networking): Modern DevOps runs on Linux. Understanding permissions, processes, bash scripting, and the fundamentals of TCP/IP, DNS, and Load Balancers is your foundation.
  2. Learn to Code: A DevOps engineer doesn't need to be a Senior Developer, but you must know how to automate tasks. Python and Go (Golang) are currently the most highly valued languages in this ecosystem.
  3. Are Certifications Worth It? Yes, especially to get past the initial HR screening. Certifications like the AWS Certified Solutions Architect – Associate or the CKA (Certified Kubernetes Administrator) carry massive weight in the global market.
  4. Build a Real Portfolio: Publish a project on GitHub where you provision infrastructure via Terraform, set up a CI/CD pipeline using GitHub Actions, and deploy a simple app to a Kubernetes cluster. Practical projects always beat theoretical resumes.

Essential References and Study Links

To stay up-to-date, we highly recommend following official organizations and annual market reports:


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