The setting
's runs in the cloud. It covers travel policies, approvals, and bookings of hotels, flights, cars and rail.
Rail ranking is favoring journey speed over the arrival promise travelers actually made.
Fast options protect a simple search experience, while arrival-fit options protect the traveler’s meeting commitment.
Who you’d be doing this for
“My travelers are asking why the first train gets them to the meeting late, and I don’t have a good answer.”
Bo Ito · Corporate Travel Manager · a character in this brief
Manages a rail policy and adoption program for an enterprise whose travelers use the booking platform for client and internal travel.
What is at stake
Travelers requesting a specific arrival time are leaving the rail flow when the first option arrives too late. You have to weigh a clearer arrival-fit signal against ranking quality and booking completion.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- fast rail options vs meeting-ready itineraries
- ranking simplicity vs explicit traveler intent
- booking completion vs comparison clarity
- personalized recommendations vs policy-aware choices
Why Navan
Book with AI carries the managed travel promise into the rail booking moment where travelers decide whether to stay in the platform.
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 full Book with AI journey: intent understanding, search, ranking and recommendations, policy and personalization, comparison, contract, checkout, booking, and post-booking support.
- Improve the product's key outcomes, including successful booking completion, conversion, time to book, user effort, CSAT, trust, and repeat usage.
- Product Director, Service Operations · no longer posted
- 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.
Corporate-card fraud cases are linked only after separate accounts have produced losses.
You must decide which relationships justify a review without sweeping legitimate travelers into the queue.
Linked account-takeover bookings could create $1.2 million in monthly payment exposure.
You must choose a production intervention that contains the ring without cutting off legitimate urgent travel.
Corporate-card hotel deposits now send 8.4% of legitimate payments to review.
You must lower the holds without opening a new fraud-loss path.
Other problems with a similar purpose
In each of these, as in this one, the aim is to make complicated, high-stakes systems feel simple to navigate without quietly removing the protections people depend on.
Cross-surface tasks take a median of 7.4 navigation actions, and support data ties the confusion to delayed production changes.
You have to decide how developers move between workflows, evaluations, connections and deployed agents before deep links and permissions migrate and set that path.
Admins stall at permission validation and destination selection, and many misread what happens when a connection is committed.
You have to settle the interaction model now, because changing it after rollout is costly.
In audit samples, interviewers saw context that some customers do not permit, and the migration runs one way.
You have to keep scorecards structured and auditable while narrowing what interviewers see.
