Product Manager, New Verticals (Book Platform)

Fora (Interview Calendar)•New York, NY

8h•$130,000 - $190,000•Onsite

About The Position

We're hiring a Product Manager to help build the interfaces advisors use to book new travel verticals. You'll join our New Verticals pod and partner closely with the pod lead to turn booking flows into fast, intuitive experiences that advisors trust to run their business. This is a hands-on execution role. Booking is where advisors spend real time and where small friction compounds into lost revenue, so the work is concrete: search, sort, filter, compare, and book across verticals, built on top of supplier data and integrations. You'll own product surfaces end to end, work shoulder to shoulder with engineering and design, and use data to decide what to build and to prove it worked. It's a strong fit for a product manager who is comfortable with data, moves quickly, and wants to own real surfaces in a growing platform.

Requirements

2-4 years of product management experience, or an equivalent mix of analytics or data work plus product ownership.
Comfort with data: you can define metrics, pull and read your own analysis (SQL or similar), and make decisions from it.
A bias toward shipping. You turn ambiguity into a clear plan and move it forward without waiting to be told the next step.
Strong collaboration with engineering and design. You can hold your own on technical tradeoffs and design details.
Clear, concise communication. You keep partners aligned and make the case for what to build.
Based in NYC or willing to relocate.

Nice To Haves

Experience with travel, marketplace, or e-commerce products, especially search, sort, filter, ranking, or booking flows.
Exposure to AI/ML-powered features or predictive models.
Hands-on experience with modern AI tools (Claude, Cursor, Lovable, and similar) or light building of your own.
A data science, statistics, or technical background (Python, R, SQL).

Responsibilities

Own booking-vertical surfaces end to end: define requirements, write clear specs, and drive them through design, build, and launch.
Partner with the pod lead on the roadmap, then carry the day-to-day execution to keep it on track.
Work directly with engineering and design to make search, sort, filter, and booking flows fast and intuitive for advisors.
Use data to prioritize: define success metrics, dig into advisor behavior, and turn what you find into the next set of changes.
Run experiments, validate ideas with advisors, and turn what works into shipped features.
Partner with supplier and operations teams so booking experiences reflect real inventory and constraints.
Apply AI tooling in your own workflow and look for places it can improve the advisor booking experience.