Iterable builds a customer engagement and growth marketing platform.
Iterable is the growth marketing platform that enables brands to create, execute, and optimize campaigns to power world-class customer engagement across email, push, SMS, in-app and more with unparalleled data flexibility. We are an integrated, cross-channel solution—Iterable is built for marketers, trusted by engineers, and designed with intelligence. We know this space well: our product team built the growth systems that powered Twitter’s early success. We've raised a $60M Series D from top-tier investors like Index Ventures and CRV, and hundreds of companies like Zillow, SeatGeek, and Box rely on us to captivate their many millions of users.
Iterable's momentum grows daily and there has never been a more exciting time to join the team! We've been recognized as one of the Best Places to Work - SF for three years running and we have also made Best Places to Work - Denver for 2020. In addition, Wealthfront listed us on their 2020 Career Launching Companies List and we’ve earned ourselves a top 20 spot among the SaaS 100. Lastly, we have a nationwide presence with offices in San Francisco, New York, and Denver, plus our first international office in London.
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to launch new machine learning products and improve our Engagement Optimization, Content and Product recommendation models. Here’s more information about our Engineering culture, values, and interviewing process.
One of our core values is growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.
The Ideal Candidate Will Be/Have:
Perks & Benefits:
Iterable is proud to be an equal opportunity employer and strives to build a diverse and inclusive team. We do not discriminate on the basis of race, color, national origin, religion, gender, sexual orientation, age, marital status, veteran status, or disability status.
Last Update: 8/1/2020