Senior questions from both sides of the marketplace.
Prepare a host-and-guest tradeoff, compare it with Airbnb’s published candidate guidance, and rehearse your decision aloud.
Airbnb's careers help page describes its interview process as both rigorous and fun. Depending on the position, it may involve a test, a video or an event, and Airbnb says it makes it a priority for candidates to meet with multiple people on the current team. Airbnb aims to reply to applications within three to four weeks. (Airbnb careers help, checked October 2026.)
Practice for a senior product manager interview in the style of Airbnb should center on two-sided tradeoffs: pricing clarity for guests versus host earnings, cancellation rules, new-host cold starts, local short-term rental rules, and what happens when a stay goes wrong. A strong answer is explicit about who wins, who pays for that win, and which pair of metrics will show both effects.
Airbnb says a deep understanding of the product is a common theme among its people, so explore guest booking and hosting setup without completing a purchase or publishing a listing before you practice. (Airbnb careers help, checked October 2026.)
Airbnb's careers help page puts it this way: “Passion and a deep understanding of our product are common themes among all of us who work at Airbnb.” (Airbnb careers help, checked October 2026.)
That line turns into a concrete warm-up. As a guest, search a city you know, compare a few listings and go as far as the booking screen without paying. As a host, start a listing and stop before you publish it. Write down one moment of friction on each side, and the reason you think it is there.
Those two notes give you real material when a question asks you to trade one side against the other, instead of a guess about how the product behaves.
Hosts and guests pull against each other in every case below. They follow the style of Airbnb senior PM interviews, are hypothetical, and say nothing about actual Airbnb policy; each carries a note on where a strong answer should land.
1. Guests say the total price at checkout feels higher than the price they saw while searching. What do you do?
Separate the guest problem (surprise and lost trust) from the host problem (fees and earnings they control). Propose a display change you can test, and watch booking conversion and host earnings together so you don't fix one by quietly hurting the other.
2. A cancellation policy change would protect guests but cost hosts income. Make the call.
State plainly which side you are favoring and why it is right for the marketplace's long-term health. Then describe what you would give the other side, and the host churn signal that would make you revisit it.
3. A guest arrives and the home doesn't match the listing photos. Design what happens next.
Speed and fairness both matter here: the guest needs somewhere to sleep tonight, and the host deserves a chance to respond. Cover evidence, rebooking and how you would measure whether both people would use Airbnb again.
4. Design an experience that helps a brand-new host get their first booking.
This is a cold-start problem. Think about pricing guidance, listing quality and early trust signals, but watch the risk of a bad first stay. Pick time-to-first-booking as the main metric, with first-stay issues as the guardrail.
5. Demand in a beach region drops sharply every off-season. How would you keep hosts there engaged?
Avoid defaulting to discounts. Look at longer stays, different guest segments (remote workers, for example) and pricing tools. Explain what you would test first and how you would know hosts are staying listed because of it.
6. A city introduces registration requirements for short-term rentals. You own host tools. What do you build?
Start with what hosts need to stay compliant, and with your legal and policy partners, not with a feature. Cover the listing-visibility consequences and how you would communicate the change to hosts in that city only.
7. How would you measure the health of the marketplace in a single city?
Balance supply-side and demand-side signals: search-to-booking conversion, available nights versus searched nights, host retention, and the rate of stays with a reported problem. Say which one you would put in front of leadership and why.
8. Should a conversational, AI-driven search replace filters for guests? How would you decide?
Name the failure mode that would hurt guests here, such as describing an amenity a home doesn't have. Propose a test with a segment that struggles with filters today, and measure bookings plus post-stay issues rather than engagement alone.
9. You want to change guest search, but the host onboarding team says the plan disadvantages new listings. How would you set direction?
Bring both teams to the same guest segment and supply constraint. Explain which listings lose visibility, how you would test that cost, and what onboarding work must change before a search experiment proceeds.
10. Host research contradicts your proposed cancellation-policy change. How would you revise the proposal without abandoning guest protection?
Identify the assumption the research challenged. Rework the policy scenario around the host’s income risk and the guest’s need for certainty, then describe what evidence from both sides could support a decision.
Declare the side you are optimizing for. In this one decision, is the win for guests or for hosts? Say so early and give the marketplace reason, so the rest of the answer has a spine.
Price the loss on the other side. Every move here takes something from someone. Name what the losing side gives up and the specific step you would take to cushion it.
Read both sides in one view. Pair a guest signal with a host signal and track them together, so a lift on one side cannot hide damage on the other.
Set your reversal trigger in advance. Before launch, name the result that would make you roll the change back. Senior answers commit to that line instead of leaving it open.
Airbnb answers candidate questions on its careers help page. The points below restate that guidance.
The tone. Airbnb's own two words for its interviews: “both rigorous and fun”. (Airbnb careers help, checked October 2026)
What it can involve. “Depending on the position, it may involve taking a test, making a video, or joining us for an event.” (Airbnb careers help, checked October 2026)
Who you meet. Meeting multiple people on the current team is something Airbnb says it prioritizes for candidates. (Airbnb careers help, checked October 2026)
Reply time and feedback. A reply inside three to four weeks is Airbnb's stated aim. Given application volume, it warns that personalized feedback is unlikely. (Airbnb careers help, checked October 2026)
Genuine contact. Real recruiter emails come from @airbnb.com or @ext.airbnb.com addresses, and Airbnb states that it will never ask candidates for a fee. (Airbnb careers help, checked October 2026)
Accommodations. If you need an accommodation, you can tell your recruiter once you have been contacted. (Airbnb careers help, checked October 2026)
A Senior Product Manager at Airbnb works on stays and experiences booked between strangers. Every decision sits between hosts and guests, whose interests do not always point the same way. At this level you are expected to set direction for an area, bring partner teams with you, and be right often enough that people stop asking for the reasoning.
This is a practice interview, not a job posting. ADPList is not hiring for this role and is not recruiting on the company's behalf.
A product view on AI search and supply onboarding sits alongside data, design and equity programs, all from mentors who work at Airbnb. Each note sums up that person's own profile, so open it to see the topics they discuss.
Nikhil Kallat, AI Product Manager at Airbnb, ex-Meta, ex-Apple. Building the AI Search product at Airbnb and leading growth strategy for core products and AI-driven supply onboarding, owning end-to-end funnels, revenue outcomes and cross-functional execution. Previously a PM on Meta's Central Growth team, working on privacy, security and integrity experiences including GenAI-based privacy safeguards and evals.
Lily Qian Zhao, Senior Data Scientist at Airbnb. Passionate about product and analytics, and previously a Senior Data Scientist at Facebook (Meta) in Ads Ranking. Offers advice on becoming and interviewing as a data scientist; a good sounding board for the marketplace health question.
Anne Diaz, Head of Platform Equity Programs at Airbnb. Cares about equity and the role technologists and designers play in creating it, and is happy to talk about work and life integration.
Michelle Lee, Experience Designer at Airbnb. An experience designer at Airbnb who moved into UX and product design from graphic design.
Angela Li, Experience Designer at Airbnb.
Airbnb product management mentors
More mentors from Airbnb in the ADPList community. They aren't taking bookings through this page, but you can view their profiles to learn about their work.
“Both rigorous and fun” is how the careers help page sums up interviewing at Airbnb. A test, a video or an event can be part of it, depending on the position. Airbnb also prioritizes having candidates meet with multiple people on the current team. (Airbnb careers help, checked October 2026.)
Three to four weeks is the response window Airbnb aims for, per its careers help page. Because so many applications arrive, Airbnb notes, candidates likely won't receive personalized feedback. (Airbnb careers help, checked October 2026.)
This page doesn't collect candidate reports. It gives you practice questions in the style of Airbnb senior PM interviews and links to what Airbnb publishes itself. For a perspective on AI Search and supply onboarding, read Nikhil Kallat’s profile. The profile is a source of professional background, not a candidate interview report or a promise of booking availability.
Spend time in the product from both sides before you practice, stopping short of paying for a stay or publishing a listing. Airbnb names a deep understanding of the product as a common theme among its people. Then rehearse questions that force a tradeoff between hosts and guests, and say out loud how you would measure the effect on both sides. (Airbnb careers help, checked October 2026.)
Airbnb says its recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses and will never ask you to pay a fee. (Airbnb careers help, checked October 2026.)
ADPList created this host-and-guest practice resource independently; there is no Airbnb endorsement or affiliation.
Company-style practice. ADPList created this host-and-guest practice resource independently; there is no Airbnb endorsement or affiliation.