The setting
's runs in the cloud. It covers travel policies, approvals, and bookings of hotels, flights, cars and rail.
Hotel feedback is plentiful, but the evidence behind a roadmap theme is fragmented.
Fast synthesis protects response time, while source-level review protects the judgment behind a hotel booking decision.
Who you’d be doing this for
“Three travelers sent me screenshots of the same hotel issue, and I still can’t tell if it’s one bug.”
Ugonna Diallo · Corporate Travel Manager · a character in this brief
She monitors traveler adoption and policy confidence across a managed travel program.
What is at stake
Hotel complaints are scattered across conversations, evaluation results, and bug bashes, obscuring recurring booking failures. You have to decide where clustering of hotel evidence hands over to the PMs who frame the problem and choose what enters metric review.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- one-workflow depth vs. cross-product comparison
- recurring themes vs distinct failure modes
- hotel conversion insight vs service-exception context
- reusable operating pattern vs. hotel-specific tuning
Why Navan
Book with AI depends on trustworthy hotel booking guidance for enterprise travelers operating under policy constraints.
Written with these in mind
Not your kind of problem? 61 more at Navan, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Navan. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Senior Product Manager, Flights (opens in a new tab)
- You won’t just own flight data or funnel metrics; you’ll design the intelligent conversational flight experience behind Navan Edge, where AI understands traveler intent, applies personal preferences, compares options, explains trade-offs, and guides users from search to booking with confidence.
- Drive Flight Funnel Conversion: Identify friction points across the flight funnel and define the roadmap to improve search-to-booking, availability-to-checkout, checkout completion, and repeat booking rates.
- Director, AI Enablement (opens in a new tab)
- Product Manager - Book with AI (opens in a new tab)
- Own the vision, strategy, roadmap, and execution for Book with AI across Hotels, Rental Cars, and Rail.
- You will own the product across Hotels, Rental Cars, and Rail, while serving as the day-to-day product lead for the team and making complex bookings feel as natural, trustworthy, and seamless as working with an expert travel agent.
- Product Director, Service Operations · no longer posted
- Operational Depth: A genuine love for untangling fragmented, complex operational problems and translating frontline pain points into elegant, scalable software.
- By combining cutting-edge technology, corporate cards, and a modern traveler experience, Navan is disrupting traditional enterprise T&E pacing past $900M+ in revenue with over $9B in Gross Booking Volume .
- Staff Product Manager (opens in a new tab)
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
The same setting, from another role
Each is set around Navan’s Corporate Travel Management Platform, written for a different role. They’re separate briefs, not the same scenario.
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