Product Manager - Travel Booking Platform (AI-Driven)

neu energy

New York (NY)

On-site

USD 130,000 - 165,000

Full time

14 days+
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Benefits offered by this job

Unlimited vacation
Health Insurance
Dental & Vision Insurance
Wellhub Memberships
401k plan with company match
Commuter Benefits
Supplemental Life Insurance
Stock Options

Job summary

Fora is seeking a Product Manager to help build the interfaces advisors use to book new travel verticals. You’ll join our New Verticals pod and partner with the pod lead to turn booking flows into fast, intuitive experiences advisors trust to run their business.

This hands-on role focuses on end-to-end surfaces, working with engineering and design to optimize search, sort, filter, and booking flows. You’ll use data to guide decisions and apply AI tooling where it adds value.

Qualifications

  • 2–4 years of product management experience or equivalent analytics ownership.
  • Comfort with data: define metrics, pull analyses, and make decisions from them.
  • Exposure to AI/ML-enabled features is a plus.

Responsibilities

  • Own booking platform initiatives end to end: define requirements, write specs, and drive design, build, and launch.
  • Partner with the pod lead on the roadmap and manage day-to-day execution.
  • Collaborate with engineering and design to improve search, sort, filter, and booking flows.
  • Use data to prioritize and define success metrics; turn insights into changes.
  • Run experiments with advisors and ship validated features.
  • Coordinate with supplier and operations to reflect inventory and constraints.
  • Apply AI tooling to improve the advisor booking experience.

Skills

Product management
Data analysis
SQL

Tools

SQL
Python

Job description

Fora is seeking a Product Manager to help build the interfaces advisors use to book new travel verticals. You’ll join our New Verticals pod and partner with the pod lead to turn booking flows into fast, intuitive experiences advisors trust to run their business.

This hands-on role focuses on end-to-end surfaces, working with engineering and design to optimize search, sort, filter, and booking flows. You’ll use data to guide decisions and apply AI tooling where it adds value.

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