Job Info:

So you've acquired a customer; now what?

Marketers have long known that acquiring a customer is not the hardest part — keeping them is. During a relationship with a brand, the customer goes through different lifecycle stages. It's only logical that each stage requires different tactics to keep them engaged. Our platform uses machine learning to predict the lifecycle stage a customer is in and helps marketers automatically deliver the right campaign that captures their attention.

We are growing rapidly and looking for great engineers to join our team.

Our client list is growing, and we're hitting larger and larger amounts of data. We are looking for back-end engineers to develop new features and scale out our platform to crunch billions of data points. Currently, our platform powers thousands of campaigns and processes billions of behavioral signals each day. We’ve sent over a billion individually personalized campaign interactions since our inception!

Like challenging problems? We got you covered.

Our engineers love a challenge. Every day we work with the latest technologies to solve extremely difficult problems involving data, analytics, machine learning, concurrency, scaling, realtime stream processing, distributed systems, caching, and more. We optimize every chance we have. For each new challenge, our engineering team focuses on planning up front, prototyping thoroughly yet quickly, then executing with well-tested code. We value simple solutions to difficult problems and have endless thirst to learn learn learn!

We are looking for an experienced back-end engineer who is passionate about writing clean, well-tested code. You should want to make a huge impact in a fast-paced and cutting-edge start-up environment. You’ll be building robust backend services and applications to help our clients visualize and interact with their data.

In addition to having meaningful responsibilities and gaining experience in product development, you will also receive comprehensive exposure to all aspects of our business. The code and ideas that you contribute will have a tangible impact on the business as a whole. Your code will touch millions of end-users. You will have full responsibility over your projects, and have a real sense of product ownership. You will also have the opportunity to learn tremendously from our awesome team of humble yet super engineers. You'll work with and learn the latest technologies and apply them across our distributed systems.

Our Stack:

We are building the next generation of marketing and data science products, and have a large variety of tools available to us. Primarily, our client-facing web stack is built in Ruby on Rails, deployed on AWS, using MySQL and Redshift data stores. However, we also make use of Scala, Python, and Spark, Mongo, Hadoop, Redis, Kinesis, Flume, and more in different parts of our backend.

Our Engineering Core Values:

Quality, Customer Happiness, Passion, Self-Improvement, Gratitude - for real, check out our website for more info:


  •  5+ years experience working on production web applications in Ruby on Rails or similar framework
  • Proficient in at least one statically typed language: C++, Java etc.
  • Experience designing and implementing large, scalable services
  • Familiar with software engineering principles and regularly use design patterns
  • Experience interfacing with APIs - SOAP, REST, etc.
  • Experience creating robust RESTful APIs
  • Comfortable using Git, Bitbucket/Github
  • Strong belief that tests and code go hand-in-hand
  • Deep understanding of SQL, query optimizations, joins etc.
  • Excellent CS foundation: data structures, time complexities, algorithms, etc.
  • Startup work experience a major plus!


  • Familiarity with distributed systems and big data methodologies: Hadoop, Spark, Kinesis, MapReduce, Hive, Pig
  • Working knowledge of distributed database systems: Anything including MongoDB, ElasticSearch, Redshift, Riak, Cassandra, etc
  • Fluency with Amazon Web Services (EC2, S3, EBS, Kinesis, EMR, SES, SQS, etc.)

About Us:

We’ve been named in CRN’s Top 10 Big Data Startups of the Year, Fast Company’s “Innovation Agents” of 2013, SocialTech’s Top 10 Software Company in Southern California, and one of Fox News LA’s most promising startups to watch. Our founders have received awards like the Ernst & Young Entrepreneur of the Year. We come from schools like Berkeley, Caltech, Carnegie Mellon, Stanford, and Yale. We’ve been featured in the Wall Street Journal, Forbes, Entrepreneur, Inc. Magazine, TechCrunch, Bloomberg, and Reuters, among other notable publications.

Our powerful profiling engine uses machine learning techniques and statistical models to analyze purchasing trends based on massive data sets, which we then use to predict customers' behavior and maximize customer retention for our clients. We love creative brainstorming for solutions and the pursuit of innovation-fueled knowledge.

We also like long walks on the beach, the crackle of turning Rubik's cubes, and dogs with old-soul eyes. Because who doesn't?

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Confirmed 8 hours ago. Posted 30+ days ago.

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