Iterable is a cross-channel platform that powers unified customer experiences and empowers marketers to improve on every interaction taking place throughout the customer journey. With Iterable, brands create individualized marketing touchpoints that earn engagement, solidify trust and galvanize loyal consumer-brand relationships.
Developed for the enterprise, Iterable is built from modern technologies that transform cloud, partner and tool-specific data into integrated, personalized engagements. No matter the audience size or degree of campaign sophistication, Iterable empowers brands to implement where it matters most—creating experiences and promoting connections with over 2 billion people world-wide. Leading brands, like Zillow, DoorDash, Calm, Madison Reed, and Box, choose Iterable to power excellent customer experiences throughout the entire lifecycle.
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 four years, one of the Best Places to Work in Colorado for the past two years, and were named as one of Colorado’s Best Paying Companies! We’ve also been listed on Wealthfront’s Career Launching Companies List for the past two years, rank sixth on the list of Top 25 Companies Where Women Want to Work and hold a top 20 spot among the SaaS 100.
We have a global presence with offices in San Francisco, New York, and Denver, and London, and remote employees located all over the world. As we scale, we continue to live by our core four, founding values - Trust, Growth Mindset, Balance, and Humility. To understand the Iterable story, and learn more about our mission, explore our Culture and 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:
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 the predictive features in our core platform.
The Ideal Candidate Will Be/Have:
Perks & Benefits:
Perks & Benefits:
We’ve rethought traditional workplace planning and are looking to strengthen belonging, innovation, productivity, and happiness whether it’s in an office, from home, or a hybrid of the two. As such, we've moved to a single geographical compensation band for all of our employees (the San Francisco Bay Area market for the US, London for the UK).
For Colorado-based employment: The minimum salary for this position is $182,000/year. The compensation package includes equity, plus a range of medical, dental, vision, financial and other benefits. Additionally, perks such as daily paid lunches and generous stipends for health & fitness and learning & development, among others, are included.
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: (6/23/2021)