Location: United States

Department: Operations

Job Description:

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Airbnb is a global hospitality platform that connects travelers with unique accommodations and experiences around the world. Our mission is to create a world where anyone can belong anywhere.

Community Blueprint is a team under Global Operations that aims to improve the quality of the end-to-end customer journey and bridge team silos across product, operations, and policy. To do this, we need to be experts in the guest and Host experience and in how the product, operations, policies function together to deliver the Airbnb experience.

As part of the Community Blueprint team, your role will be instrumental in driving data-driven decision-making, connecting data across product & operations, and enhancing the guest and Host experience.

The Difference You Will Make:

We are seeking a highly experienced and skilled leader with deep expertise in customer journey analysis, strategic planning, and team development. As the Senior Manager, you are a leader that will be responsible for driving forward customer experience excellence, developing insights that identify user experience gaps, and growing the team’s impact on the business.

The ability to connect the dots across the end-to-end customer journey and across different teams will be critical to success. This role will also be presenting to and influencing leaders at the highest level, meaning strong communication skills will be essential.

This role will be part of the Frontline Insights & Execution (FIX) team within Community Blueprint. This is a highly cross-functional team, this means you will collaborate with many different functions across all of Airbnb to drive strategic initiatives and inform decisions that will ultimately improve the guest and host experience.

We are looking for a scrappy self-starter with an entrepreneurial mindset who thrives in ambiguity and can deeply understand the nuances of our rapidly evolving business and use data to make key decisions.

A Typical Day:

• Lead, mentor, and develop a high-performing team, providing regular feedback, coaching, and performance evaluations.

• Foster a collaborative and supportive team environment that encourages growth, knowledge sharing, and innovation.

• Oversee workload management, resource allocation, and project prioritization for the team.

• Develop and implement key performance indicators (KPIs) to measure team effectiveness and impact.

• Collaborate with cross-functional leaders to align with broader company goals and objectives.

• Analyze quantitative and qualitative data across the end-to-end customer journey to drive business decisions.

• Identifying customer issues and understanding the what as well as investigating the why.

• Leverage LLMs/generative AI tools to enhance the effectiveness of the team.

• Develop strong working relationships and collaborative partnerships with the various internal teams such as Product, Operations, Engineering, Training, Knowledge Management, Incident Management, Business Process Improvement, Partner Management, Finance, Research, and others.

• This is a global program, which means this role will be working with people from many different time zones and requires flexibility in the hours they’re available to take meetings.

• Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

Your Expertise:

• An undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 12+ years of industry experience in a General Manager, Strategy Manager, Product Insights, Product Operations or equivalent role.

• Proficiency in SQL, data analysis, and data visualization.

• Proficiency in Jira and Airtable (optional).

• Strong technical data skills, ability to connect data across multiple areas.

• Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.

• Strong problem-solving and critical thinking abilities, with a keen attention to detail.

• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.

• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.

• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.

• Experience managing a team including performance management and goal setting.

• Experience managing projects involving cross-functional teams.

• Understanding of LLMs and desire to continue to learn in the AI space.

• Flexible and can deal effectively with changes in priorities or ambiguity.

• Prior experience in the technology industry or a fast-paced, data-driven environment is preferred

Joining the Airbnb team as a Senior Manager of the Community Blueprint Team will provide you with an exciting opportunity to contribute to the growth and success of a global technology company. If you are a highly analytical, detail-oriented, and strategic thinker with a passion for data-driven decision-making, we would love to hear from you.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range $188,000-$235,000 USD

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $342K – $555K • 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

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!

In this role, you will:

• Co-design future hardware for programmability and performance with our hardware vendors

• Assist hardware vendors in developing optimal kernels and add support for it in our compiler

• Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features

• Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking

• Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators

• Manage communication and coordination with internal and external partners

• Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.

• Evaluate potential partners’ accelerators and platforms.

• As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.

You might thrive in this role if you have:

• 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.

• Strong experience in software/hardware co-design

• Deep understanding of GPU and/or other AI accelerators

• Experience with CUDA, Triton or a related accelerator programming language

• Experience driving Machine Learning accuracy with low precision formats

• Experience with system performance modeling and analysis to optimize ML model deployment

• Strong coding skills in C/C++ and Python

• Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.

These attributes are nice to have:

• PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems

• Strong understanding of LLMs and challenges related to their training and inference

XML job scraping automation by YubHub

What you'll do

• Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds
• Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements

What you need

• Hands-on coding and prompting experience
• Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience

XML job scraping automation by YubHub