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Applied Ai Engineer, Startups (Codex)

openai

London, UK
AI

Job Score

80 pts
On-site model (+70) AI (+10)

About the team

The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.

This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.

About the Role

As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows.

Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams.

This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work.

In this role, you will:

  • Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software.

  • Design and lead technical talks, live demos, workshops, hackathons, and repeatable hands-on programmes that turn initial interest into sustained adoption.

  • Work directly with selected customers to build Codex workflows, integrations, and automations, resolve technical blockers, and evaluate effectiveness and reliability.

  • Turn successful approaches into reusable code examples, guides, and tools that help more startups succeed with Codex and OpenAI’s broader platform.

  • Collaborate with account teams, developer experience, and ecosystem partners to reach developers and founders, prioritise opportunities, and drive measurable customer value.

  • Translate customer experiences and developer feedback into actionable insights for OpenAI’s Product, Research, and Engineering teams.

You’ll thrive in this role if you:

  • Have experience building at, founding, or working closely with early-stage startups, and understand the pace, ambiguity, and practical trade-offs involved.

  • Bring strong software engineering fundamentals and enjoy building practical AI applications, integrations, and developer tools.

  • Are an active user of Codex or other AI coding tools, with a thoughtful perspective on how they can improve software development.

  • Are a compelling communicator who enjoys presenting, delivering live demos, and leading hands-on workshops for developers and founders.

  • Have a talent for turning complex technical ideas into clear explanations, engaging examples, and reusable resources that help others succeed.

  • Combine developer empathy with sound technical judgment: you can uncover what a team needs, troubleshoot problems, and help them adopt effective, reliable workflows.

  • Bring high agency, curiosity, and end-to-end ownership, working independently while collaborating closely with colleagues and ecosystem partners.

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

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

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 Infrastructure and DevOps

Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.

Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).

DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.

About Information Security

The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

About Web3

The Web3 area represents the new phase of the decentralized internet, built on blockchain technology. Web3 professionals create decentralized applications (dApps), interact with smart contracts, manage digital assets (cryptocurrencies and NFTs), and utilize DeFi (Decentralized Finance) protocols, revolutionizing how data, ownership, and finance are managed online.

About Administrative

The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.

Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.

The digitization of administrative processes has created new opportunities for professionals who master technology and management.

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.

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