WhereTo

26 - 50 Employees
11 - 25 Engineers
$10M - $25M Funding
Series A

WhereTo's SaaS technology empowers the business traveler or manager to get the best deal for their travels, enhances their booking experience, and incentivizes their business travel.

We've partnered with top Fortune 100 companies to solve their frustrations with traditional corporate booking tools by utilizing our proprietary algorithm to provide the most optimal choices of flights, hotels, and car rentals.

Whether you are a business traveler, travel management company, or internal travel manager, let WhereTo save you time and money on your travel bookings.

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Why join us?
  • Our first customer is a Fortune 10 company. We are working very closely with their Global Travel team to build out the tool.

  • Our team includes people from top companies such as Google, Facebook, IBM and others.

  • We have been funded by Emergence Capital, who also has funded companies such as Box, Yammer, Zoom, etc


Engineering at WhereTo
Engineering team and processes

Our team is comprised of industry veterans, many alumni from top companies and startups valued at hundreds of millions to billions. We embrace modern programming styles, including functional programming and immutable data. We run two week sprints that are decided by the engineering team and product managers. We run CI using CircleCI Enterprise and use GitHub as VCS to manage our code. Code review process happens through pull requests.

Technical Challenges

Building software to automatically book travel at mass scale for companies. Building data pipelines that process billions of dollars worth of travel bookings per year.

Projects you might work on
  • Search pipelines to aggregate results from multiple GDS's (Global Distribution System)

  • Payment Integrations with all sorts of different banks and payment providers

  • Content API integrations for Flights / Hotels / Cars and Rail. Integration with rideshare providers.

  • Approval Systems for managers to approve employee spending and trips.

  • Content recommendation engine. Lots of ML and data involved here.

Tech stack
Node.js
React
PostgreSQL
Redis
Elastic Search
logstash
Mesos
Docker
AWS
Azure
ES6
flowtype
chronos
Consul
RabbitMQ
Rust
golang
Scala
Tensorflow
RabbitMQ

Working at WhereTo

We do more with less. We love it when people go out of their way to make the product better.

Generous Vacation
Travel
Work from Home
Health Insurance

100% health coverage under Anthem Silver PPO plan

Company Retreats
Beautiful Office
Gym/Fitness

Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.

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