Airbnb Logo

Airbnb

Staff Platform Manager, Conversational Products

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
200K-240K Annually
Expert/Leader
Remote
Hiring Remotely in United States
200K-240K Annually
Expert/Leader
Own the platform powering Airbnb’s AI Assistant, including request routing, knowledge retrieval, capabilities, actions, and evaluation. Set product strategy, define resolution and quality standards, analyze production data, diagnose system failures, and guide engineering, data science, policy, and knowledge partners. Lead generative AI launches, safety and readiness reviews, LLM evaluation systems, calibration, and certification while aligning cross-functional teams and communicating decisions to executives.
The summary above was generated by AI

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 vision and mission driven company, and our Product Managers embody that mindset. Platform PMs imagine the ideal end state for our community first, work backwards from it, and deliver it in a scalable way. The AI Assistant team owns the agentic AI system that powers Airbnb's support experience for millions of guests and hosts. This is one of the highest-visibility applied-AI efforts at the company, and it sits at the intersection of large language models, platform thinking, and a genuinely two-sided marketplace.

The Difference You Will Make: 

You will own the platform that determines how our AI Assistant reasons, retrieves, and responds: the layer that interprets each request and routes it, the knowledge and capabilities the assistant draws on, the actions it can take to actually resolve an issue, and the evaluation systems that keep it safe and accurate at scale.

You will own what a good outcome looks like for the user, and the criteria we measure it against, working through partners who own the underlying knowledge and the engineering implementation. This is a role where Product both directs technical work and does it themselves. You will diagnose architectural problems, author the artifacts that become production behavior, and help drive engineering and data science decisions alongside your key partners. 

Support is high-stakes: people reach out when something has gone wrong, often with another party involved. You will be responsible for making those moments accurate, safe, and genuinely helpful, increasing how often the assistant fully and correctly resolves a request on its own while expanding coverage across more problem types and user touch points.

A Typical Day:

  • Set the product direction for how the assistant reasons and responds, and paint a multi-quarter vision with the customer at the center;  align that vision with senior leaders and cross-functional partners.
  • Work fluently with production data. Explore the data directly, use modern AI tools and coding agents to move fast, validate an analysis, and dig in yourself to tell when a result doesn't look right.
  • Build new capabilities end to end, from spotting the need through the hands-on work that makes the behavior real and gets it calibrated with human input.
  • Decide what a correct, complete resolution looks like for each kind of user problem, and get engineering, policy, and knowledge partners aligned around that definition.
  • Define what success means in measurable terms: how often issues get fully resolved, how accurate and safe the answers are, and the bar that a change needs to clear in order to launch.
  • Own launch readiness for major model and platform changes, balancing speed to learn against the safety and risk work that has to happen before anything scales.
  • Diagnose why a complex AI system is failing, and judge where the fix actually belongs.
  • Own the evaluation strategy: LLM-based evaluators (LLM-as-judge), offline and live-traffic evaluation, calibration and certification, and the tooling that lets non-engineers safely improve the assistant.
  • Bring teams with different perspectives to a shared answer, set agreements with partners early, and push for a single source of truth across the product.
  • Present to leadership regularly, leading with the decision, the tradeoffs, and the ask, and tailoring the narrative to what the audience cares about.

Your Expertise: 

  • 9+ years building technology products, with at least 5 in product management or a closely related technical role (engineering, data science, or applied research) from which you owned product direction.
  • Direct experience shipping generative AI or ML products to production, ideally including retrieval-augmented generation, agentic or function-calling architectures, and evaluation systems.
  • Hands-on technical depth. You read and debug prompts, understand ML and engineering constraints, and are comfortable personally authoring the artifacts that shape production behavior. 
  • Data fluency. You can work directly with production data, validate an analysis end to end, and know when a result looks wrong, whether or not you write the query by hand.
  • Depth in LLM evaluation. You have designed, calibrated, or certified automated model-based evaluations, and can turn a vague quality signal into diagnostic, measurable components.
  • A strong sense for great user experience, including how latency, tone, and trust shape an AI interaction.
  • Comfort owning an ambiguous, cross-cutting mandate that spans several teams' focus areas, and the influence to drive alignment accordingly.
  • A track record of scaling your impact through others: setting a clear bar, assigning owners, and holding them to it.
  • Strong executive communication: can lead with the decision and the ask, and adjust the narrative to the audience.
  • Radical thinking paired with strong execution: can envision a system meaningfully better than today and articulate the path to get there.

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: [email protected]. 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.

Equal Employment Opportunity:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

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
$200,000$240,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.


HQ

Airbnb San Francisco, California, USA Office

888 Brannan Street, San Francisco, CA, United States, 94103

Airbnb Berkeley, California, USA Office

Berkeley, United States

Airbnb South San Francisco, California, USA Office

South San Francisco, United States

Similar Jobs

3 Hours Ago
Remote or Hybrid
83K-139K Annually
Senior level
83K-139K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manages complex commercial energy claims from initial report through resolution, including coverage analysis, liability assessment, reserves, litigation, settlements, and high-dollar exposures. Coordinates defense counsel, experts, legal, underwriting, reinsurance, and claims teams. Advises leadership on coverage and legal developments, mentors claims examiners, oversees litigation strategy, and supports claims process improvement while maintaining regulatory and confidentiality standards.
3 Hours Ago
Remote or Hybrid
7 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.
Top Skills: AWSGoKafkaKotlinTypescript
46K-84K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Investigates and processes commercial auto physical damage claims, determines coverage, evaluates damage, sets reserves, negotiates settlements, prepares estimates, maintains claim documentation, and identifies potential fraud or subrogation. The role requires regular communication with insureds, claimants, agents, and internal teams, with hybrid office attendance twice monthly for employees near designated offices.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account