XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

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](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

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 Fair Chance Initiative for Hiring, and the New York City Fair Chance Act.

XML job scraping automation by YubHub

Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

The Technical Success team is responsible for the customer experience on both the OpenAI API platform as well as the ChatGPT business product, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a Solutions Engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Mid Market/Enterprise Sales, Security, and Product teams.

This role is based in Tokyo, Japan. 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:

• Deliver an exceptional pre-sales customer experience.

• Provide technical expertise in the pre-sales process, outlining the value proposition, clarifying technical requirements, and answering product-related questions.

• Demonstrate how the ChatGPT business product can provide solutions to customers’ business needs and deliver value, including (but not limited to) demos, use case scoping, and proof of concepts.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g. trust portal), and escalating complex requirements to the appropriate teams.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams, gathering and relaying customer feedback and identifying themes across customers to incorporate into product planning.

• Collaborate closely with the Sales and GRC teams to ensure a seamless pre-sales experience.

You might thrive in this role if you:

• Have 7+ years of experience in a Solutions Engineer (or similar) role, managing relationships with large, global, and complex organizations, preferably working with a technical enterprise product.

• Are fluent in both Japanese and English, as this is essential for partnering with customers, providing technical expertise, demonstrating value, and collaborating effectively with teams at headquarters.

• Have a solid track record of delivering and scaling an exceptional pre-sales customer experience.

• Have experience providing higher level security and compliance support as well as a thorough understanding and knowledge of IT security principles and customer requirements for similar technical B2B SaaS products.

• Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.

• Are personally committed to fostering the safe and ethical evolution 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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $197K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the team

The AI Deployment Engineering (ADE) 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 ADE, 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 the founding Partner ADE 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. 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.

XML job scraping automation by YubHub

Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese _and_ English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

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.

XML job scraping automation by YubHub

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our Paris office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact.

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.

XML job scraping automation by YubHub

Sydney, Australia

Employment Type

Full time

Location Type

Hybrid

Department

About the Team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer, you’ll help the largest companies 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 to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.

This role is based in Sydney, Australia. 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 our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
• Work with senior 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 our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
• Contribute to our open-source developer and enterprise resources.
• Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

You’ll thrive in this role if you:

• Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.
• Are an effective and polished communicator who can translate business and technical topics to all audiences.
• Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.
• Have industry experience in programming languages like Python or Javascript.
• 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.
• Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

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.

XML job scraping automation by YubHub

Solutions Engineer, Education

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies and organizations across industries 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 seeking an experienced pre-sales Solutions Engineer to partner with our Education sales team in supporting Higher Education institutions and K–12 organizations as they adopt and scale OpenAI’s tools and products. In this role, you will work closely with educators, administrators, IT leaders, and institutional stakeholders to apply AI in ways that enhance teaching and learning, improve operational efficiency, and responsibly address complex challenges across the education ecosystem.

You will serve as a trusted technical advisor, bringing deep product knowledge and strong communication skills to demonstrate value, design thoughtful solutions, and guide responsible AI adoption aligned with institutional values, privacy requirements, and student-centered outcomes. Your work will directly support OpenAI’s broader mission to ensure AI benefits all of society, with a particular focus on expanding access, equity, and positive impact in education.

_This role is based in New York City. 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:

• Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting.

• Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately.

• Collaborate closely with the Education Go-to-Market, Policy/Global Affairs, and GRC teams to ensure a seamless customer experience.

You might thrive in this role if you:

• Have 7+ years of experience in technical pre-sales or adjacent technical advisory roles, with a track record of independently owning complex, high-stakes customer engagements.

• Are comfortable operating independently in ambiguous, fast-evolving environments, making progress without fully formed playbooks or perfect information.

• Own the technical strategy for a portfolio of strategic Education customers, leading complex pre-sales engagements end to end

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security

XML job scraping automation by YubHub

Location

London, UK

Employment Type

Full time

Department

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact.

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.

XML job scraping automation by YubHub

AI Deployment Engineer

Location

San Francisco

Employment Type

Full time

Department

Compensation

• Zone A$197K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in San Francisco, CA. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert  post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

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 ensure that AI systems are aligned with human values and are developed and used in ways that benefit society as a whole.

XML job scraping automation by YubHub

We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.

This role is based in Seoul, South Korea. 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 our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.

• Work with senior 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 our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.

• Contribute to our open-source developer and enterprise resources.

• Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.

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

You’ll thrive in this role if you:

• Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.

• Are an effective and polished communicator who can translate business and technical topics to all audiences.

• Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

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

• 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.

• Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

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.

XML job scraping automation by YubHub

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$197K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our NYC office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

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 be a company that is both technically excellent and socially responsible.

XML job scraping automation by YubHub

Location

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English, and the interview process will be conducted in English.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

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.

XML job scraping automation by YubHub

Munich, Germany

Employment Type

Full time

Location Type

Hybrid

Department

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our Munich office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact.

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.

XML job scraping automation by YubHub

AI Deployment Engineer

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• Remote$157.6K – $222.4K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The AI Deployment Engineering 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.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is primarily remote, with periodic travel to our HQ and customer sites as needed.

In this role, you will:

• Serve as the primary technical subject matter expert  post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

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 and experiences of our team members, customers, and users.

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $210K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the Team

The Incubation team explores and develops new product ideas at their earliest stages — identifying opportunities, rapidly testing concepts, and building the foundations for future OpenAI products. Operating as a 0→1 innovation group, the team works across problem spaces to discover where advances in AI can unlock entirely new user experiences.

We operate with a startup-like mindset inside OpenAI: small teams, fast iteration cycles, and a willingness to explore bold ideas, learn quickly, and pivot based on real-world signals. Our goal is to turn promising concepts into validated products that can scale to global impact.

About the Role

As a Full-Stack Software Engineer on the Incubation team, you’ll help imagine, prototype, and build entirely new product experiences within the OpenAI ecosystem. This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.

You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.

We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. You should be comfortable operating in ambiguity, learning from experiments, and helping shape both product direction and technical strategy from the ground up.

In this role, you will:

• Prototype and iterate quickly on new product ideas, exploring how AI can unlock novel user experiences and workflows.
• Turn early concepts into functional demos and ship code early and often, using real-world feedback to guide iteration.
• Validate ideas through experimentation and help scale the strongest concepts from prototype to production.
• Work across the full stack to build products from initial exploration through launch readiness.
• Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact.
• Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team culture.

You might thrive in this role if you:

• Have 3+ years of professional software engineering experience.
• Have built and shipped full-stack apps end-to-end — from prototype to traction — in fast-moving, startup-like environments.
• Are energized by ambiguity — you can take a one-sentence idea and turn it into a working product.
• Jump at opportunities to learn new systems or languages and share your insights clearly with others.
• Enjoy exploring new problem spaces and shaping products before requirements are fully defined.
• Thrive in high-ambiguity environments and can independently translate broad ideas into shipped products.
• Welcome direct, constructive feedback and offer the same to others with clarity and respect.
• Are fluent across multiple programming languages and frameworks — choosing the right tools to move quickly and effectively.

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.

XML job scraping automation by YubHub