Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.

Key responsibilities include:

• Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space
• Growing, leading, and managing a small team of talented engineers
• Supporting your team's professional growth and maintaining high performance through mentorship and coaching
• Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb's cloud network infrastructure and related components
• Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services
• Building cross-region gateways and load balancers for global Airbnb services
• Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Nurturing a culture of technical quality from design, through code review, to production
• Building strong partnership and alignment with teams across engineering
• Nurturing relationships with open source communities and external service partners

As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).

Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.

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You will have the chance to define and influence large infrastructure initiatives such as global traffic load balancing and disaster recovery, next-gen service mesh, cross-region gateways, and edge security. Airbnb is a member of the Cloud Native Computing Foundation (CNCF) end-user community, and we work closely with the open-source community (e.g., k8s, istio) and peer companies to tackle cloud-native engineering challenges at scale.

In this role, you will:

• Work with open-source communities (e.g., istio) to build the next-generation service mesh for all Airbnb back-end services;
• Build cross-region gateways and load balancers for global Airbnb services;
• Work with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services;
• Design the multi-region network architecture on public clouds and build software and operation tools to manage Airbnb's production network;
• Work with product and engineering teams to optimize the network performance for Airbnb services;

You will be a full-cycle developer with strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle. You will have excellent communication skills and the ability to work well within a team and with teams across the engineering teams.

You will be passionate about efficiency, availability, technical quality, and system quality. You will have led a team that is on-call for production infrastructure before.

If you are passionate about building scalable and reliable systems, and you want to make an impact on the industry and open-source communities, then we want to hear from you!

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As Yubico's Channel Manager, you will drive revenue via Yubico's Channel network through effective planning, forecasting, and lead-generation activities. You will report to the Director of Channel EMEA and be a key part of our regional go-to-market strategy.

Key responsibilities include:

• Supporting Channel partner engagement with large or strategic customers
• Working with and selling through Yubico's Channel partners
• Engagement with Yubico's global technology partnerships to drive new opportunities

To succeed in this role, you will need to have a deep understanding and experience in a Channel sales model, hi-tech software, hardware, and service offerings. You should also have a good understanding of the cybersecurity market and experience of working with Security, Identity, and Authentication technologies.

In addition, you will need to be comfortable having business and high-level technical conversations, be a team player who is able to take initiative, maintain a positive attitude, be self-motivated, and work effectively on projects with minimal direct supervision.

Established network of Channel Partners is preferred, but not essential. Excellent verbal, written, and presentation skills are also required. Willingness to travel within the Southern European region on a regular basis is necessary.

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The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform—from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources—compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms
• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads
• Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region
• Contribute to inference features that must work consistently across all platforms
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration
• Have strong interest in inference
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work
• Pick up slack, even when it goes outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Strong familiarity with LLM inference optimization, batching, caching, and serving strategies
• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators
• Background designing and building CI/CD systems that automate deployment and validation across cloud environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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