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 the past  three years 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. We have a nationwide presence with offices in San Francisco, New York, and Denver, plus our first international office in London. Our  values are Trust, Growth Mindset, Humility, and Balance, and you can learn more about how we live our values as we scale on Our Culture page or more about our history  on our About Us page.

How you will make an impact:

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.

In this role you'll get to:

• Explore vast data sets, research and co-develop ideas with product experts
• Develop and improve models for engagement optimization, content/product recommendation and several new marketing applications
• Mentor ML Engineers on data science, especially in the deep learning space
• Work closely with ML Engineers to improve our machine learning platform

We are looking for people who have:

• Broad knowledge of current machine learning techniques for NLP and time series data
• Experience with data exploration, visualization and unsupervised learning techniques
• Demonstrated ability to apply cutting-edge research to a commercial product
• Experience with taking a model from prototype to production at scale
• Experience with Python and familiarity with PyTorch or Tensorflow for deep learning 
• Nice to have experience with Spark and desire to learn some Scala
• Embody our company’s human values of Growth mindset, Humility, Balance and Trust

Perks & Benefits:

• Paid parental leave
• Pension plan
• Supplemental Health Insurance
• Flexible PTO 
• Daily lunch allowance
• Monthly Employee Wellness allowance 
• Quarterly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

Last Update: 8/1/2020