Wove

San Francisco
11 - 25 Employees
< 10 Engineers
$10M - $25M Funding
Series A

Wove builds software for data-centric partnerships. Our mission is to transform business from individual companies working in isolation into communities of companies working together for mutual success. Wove's immediate focus is on marketing partnerships and is building the world’s largest network for inter-brand collaboration to facilitate this.

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Why join us?
  • You'd be joining at an exciting time — We recently pivoted into something that has seen unbelievable traction in a very short amount of time (the new product was adopted by 250 companies in its first few months). This comes with some awesome challenges: lots of building new things from the ground up, moving at an incredibly fast pace, growing at a crazy rate etc.

  • We have a very small, talented, tight-knit team — We enjoy each other's company and go on plenty of company outings, including a camping trip each year. You can get a better sense of our company culture and vibe at wove.com/company or on our Facebook page here.


Engineering at Wove
Engineering team and processes

We're a flat team (everyone reports to the CTO) where software engineers are responsible for both product and engineering decisions. We expect our success to be driven not by marching orders passed down from above but by individuals who have all the context they need to make sound decisions for the success of the company. As such, our processes are set up to empower people and then get out of the way. Expect high transparency, relatively few (but high-impact) meetings and a lot of time to do deep work and engage in ad hoc collaboration.

Technical Challenges

We work with a massive amount of very rich data, so there are a lot of challenges that come with that. We’re constantly working to find new ways to look at / work with all of this data, and are always building new tools that can help our customers use their own data (and their partners’ data) more effectively.

Projects you might work on
  • A company on our network has a dozen partners on average, and finds varying degrees of success with each one. A key service we provide is to recommend partnerships that we think will be successful. To do this, we leverage a number of different algorithms that rely on a variety of different inputs - the connections in our partnership graph, the affinity between companies' data sets, company profiles and descriptions, etc - and have a framework to generate, score, and surface these recommendations. One thing we do not consider yet is the degree to which companies actually use the data that they have access to when activated on our partner platforms (for running ads on Facebook for instance). Devise a framework to retrieve and persist the necessary data points from our partner platforms and then use this data set to generate partner recommendations.

  • We currently receive data from our customers through a system of file uploads and manual syncing. Design a framework that makes it easy for us to integrate with the most popular data warehouses and sync data between their systems and ours in realtime.

  • Our infrastructure is all hosted on AWS and managed through a system of Chef scripts that we'd like to migrate to Kubernetes (Google's container orchestration system). Create a plan and implement the foundational systems we need to do this.

Tech stack
Java
Ruby
Hadoop
AWS
React
DynamoDB
PostgreSQL

Working at Wove

Learn more about our culture at https://www.keyvalues.com/wove

Health Insurance

Health benefits are fully covered.

Generous Vacation

Unlimited PTO (we're not your mom — you decide when you want to take off)

Company Retreats

We have annual team camping trip to somewhere awesome!

Other

We'll fly you somewhere new in the world every year — wherever you want to go

Relocation
Beautiful Office
Flexible Hours

No strict rules. You mange your schedule. However, we do have an awesome team and place great value on collaboration. All else equal, we prefer to be in the office when others are around but you're free to take a day to work from home, sneak in a midday workout or however


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