Join the BizTech team at Airbnb and contribute to fostering culture and connection at the company by providing reliable corporate tools, innovative products, and technical support for all teams.

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence.

Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.

Key Responsibilities:

• Lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.

• Stay on top of tasks, engagements, and team interactions,active collaboration is key to success.

• Work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.

• Dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.

• Participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.

Requirements:

• 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.

• Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.

• Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.

• Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.

• Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.

• Proficient in Python or Go.

• Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).

Preferred Qualifications:

• Experience with cloud-based infrastructure and services.

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab).

• Experience with agile development methodologies and frameworks (e.g., Scrum, Kanban).

• Strong communication and interpersonal skills.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Salary: $212,000-$265,000 USD per year.

Benefits: Bonus, equity, benefits, and Employee Travel Credits.

Workplace Type: Remote eligible.

Experience Level: Senior.

Employment Type: Full-time.

Category: Engineering.

Industry: Technology.

Required Skills: AIOps, data catalog architecture, product development, Technical Operations infrastructure, SDLC, infrastructure as code, configuration management, distributed version control, CI/CD, cloud (AWS and/or Google), AI/automation, data catalog architecture, workflows, and correlation.

Preferred Skills: Cloud-based infrastructure and services, containerization and orchestration tools (e.g., Docker, Kubernetes), DevOps practices and tools (e.g., Jenkins, GitLab), agile development methodologies and frameworks (e.g., Scrum, Kanban), strong communication and interpersonal skills, ability to work in a fast-paced environment and adapt to changing priorities.

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As an Enterprise Product Engineer at Cursor, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.
• Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.
• Analyse customer needs and develop solutions that meet their requirements.
• Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.
• Develop and maintain high-quality code that is scalable, maintainable, and efficient.
• Participate in code reviews to ensure that the codebase is of the highest quality.
• Stay up-to-date with the latest technologies and trends in the industry.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a recognised leader in the AI industry.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools.
• Opportunities for professional growth and development.

What we're looking for

• 3+ years of experience in software development, preferably in a product engineering role.
• Strong understanding of software development principles, patterns, and best practices.
• Experience with Agile development methodologies and version control systems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with cloud-based technologies and containerisation.
• Familiarity with machine learning and AI concepts.
• Experience with design thinking and user-centred design.
• Strong understanding of security principles and best practices.
• Experience with DevOps practices and tools.
• Familiarity with testing frameworks and methodologies.
• Experience with continuous integration and continuous deployment.
• Strong understanding of scalability and performance optimisation.
• Experience with monitoring and logging tools.
• Familiarity with containerisation and orchestration.
• Experience with cloud-based storage and databases.
• Familiarity with security frameworks and best practices.
• Experience with compliance and regulatory requirements.
• Familiarity with industry standards and best practices.

Preferred skills

• Experience with Python, Java, or C++.
• Familiarity with cloud-based platforms such as AWS or Azure.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.
• Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.
• Experience with design thinking and user-centred design tools such as Sketch or Figma.
• Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.
• Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Familiarity with monitoring and logging tools such as Prometheus or Grafana.
• Experience with security frameworks and best practices such as OWASP or NIST.
• Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.
• Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.

Salary range

£80,000 - £120,000 per annum.

Category

Engineering.

Industry

Technology.

Experience level

Mid.

Employment type

Full-time.

Workplace type

Remote.

Required skills

• Software development principles, patterns, and best practices.
• Agile development methodologies and version control systems.
• Problem-solving skills and attention to detail.
• Communication and collaboration skills.
• Cloud-based technologies and containerisation.
• Machine learning and AI concepts.
• Design thinking and user-centred design.
• Security principles and best practices.
• DevOps practices and tools.
• Testing frameworks and methodologies.
• Continuous integration and continuous deployment.
• Scalability and performance optimisation.
• Monitoring and logging tools.
• Containerisation and orchestration.
• Cloud-based storage and databases.
• Security frameworks and best practices.
• Compliance and regulatory requirements.
• Industry standards and best practices.

Preferred skills

• Python, Java, or C++.
• Cloud-based platforms such as AWS or Azure.
• Containerisation and orchestration tools such as Docker and Kubernetes.
• Machine learning and AI frameworks such as TensorFlow or PyTorch.
• Design thinking and user-centred design tools such as Sketch or Figma.
• Testing frameworks and methodologies such as JUnit or PyUnit.
• Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Monitoring and logging tools such as Prometheus or Grafana.
• Security frameworks and best practices such as OWASP or NIST.
• Compliance and regulatory requirements such as GDPR or HIPAA.
• Industry standards and best practices such as ISO 27001 or PCI-DSS.

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Location

San Francisco; New York City; Remote - US; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• San Francisco, Seattle or New York City $230K – $385K • Offers Equity
• Zone A $207K – $346.5K • Offers Equity
• Zone B $184K – $308K • 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.

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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.

About the Role

As a Software Engineer on the Identity Infrastructure Engineering team, you’ll be instrumental in creating, deploying, and operating foundational security tools and infrastructure. You will work with a broad range of technologies to support multi-cloud deployments, ensuring that researchers and engineers can safely build, test, and scale transformative AI systems. The role requires a balance of strong technical depth, cross-functional collaboration, and a passion for embedding secure-by-default principles into every layer of our stack.

Responsibilities

• Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
• Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
• Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
• Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
• Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.

Requirements

• A background in building secure systems—from core IAM services to orchestration layers that manage credentials, roles, or policies at scale.
• Proficiency in programming languages such as Python, Go, or similar, with a track record of writing high-quality, maintainable code.
• Experience with modern cloud infrastructure (AWS, Azure, GCP) and familiarity with industry-standard security protocols (OAuth, SAML, OpenID Connect) and authentication/authorization patterns.
• A security-focused mindset, with knowledge of threat modeling, risk assessment, and the ability to embed security features throughout the software development lifecycle.

Nice to Have

• Experience with containerization (Docker, Kubernetes) and orchestration tools (e.g., Terraform, Ansible).
• Familiarity with CI/CD pipelines and automated testing frameworks.
• Knowledge of machine learning and AI concepts, including model training, deployment, and security.
• Experience with cloud security services (e.g., AWS IAM, Azure Active Directory).
• Familiarity with DevOps practices and tools (e.g., Jenkins, GitLab).

What You’ll Get

• Competitive salary and equity package
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Paid parental leave and medical/caregiver leave
• Flexible PTO and paid holidays
• Professional development opportunities
• Collaborative and dynamic work environment

How to Apply

If you’re passionate about building secure systems and contributing to the development of cutting-edge AI technology, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects you’d like to share. We can’t wait to hear from you!

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