Iterable is the top-rated AI-powered customer engagement platform that helps organizations like Redfin, Priceline, Calm, and Box to activate customers with joyful interactions at scale. With Iterable, organizations drive high growth with individualized, harmonized and dynamic communications that engage customers throughout the entire lifecycle at the right time. Iterable’s data engine, ease of use, and flexible and open architecture makes it the best platform to close the data activation gap by bringing together customer data, ability to design the experiences, deliver them and optimize them. All in one platform. We’ve surpassed $200M in ARR and have raised more than $230M from top-tier investors like Index Ventures, Viking, and CRV. Nearly 1200 companies from over 50 countries around the world rely on us to captivate their many millions of users.
Iterable helps brands unlock growth in the digital era by enabling joyful customer experiences with individualized communications based real-time behavioral data, harmonized cross-channel communications based on customer lifecycle, and dynamic always-on journeys that adapt to customer signals. Our powerful customer communication platform helps marketers manage end-to-end customer engagement programs with enterprise-grade security, compliance and controls for their customers.
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 five years, recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and we were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
We have a global presence with offices in San Francisco, New York, Denver, and London, and recently expanded our operations to Australia and New Zealand. Iterable’s reach extends worldwide, and we have remote employees across the globe. 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:
As a Senior Machine Learning Engineer at Iterable, you will be leading data projects to launch new machine learning products and improve the predictive features in our core platform. We serve large and small companies spanning many different industries and have the opportunity to work with large and diverse data sets. You’ll also get to influence the decisions and policies we adopt as a company in this exciting era of AI.
One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please do apply, as we value applicants for the skills they bring beyond a job description.
How you will make a difference:
- Collaborate with engineers, product managers, and cross-functional development teams to integrate AI/ML technologies into product offerings that will allow customers to better target and personalize messages
- Evaluate and validate algorithm performance to ensure reliability, robustness, and generalization across datasets and scenarios, and present them to stakeholders
- Develop, and maintain machine learning pipelines for Iterable’s suite of data products using Spark, Scala, and Python
- Own end-to-end ML development from prototyping to deploying to production to enable AI features at scale
- Decide when to use out-of-the-box solutions vs. building custom solutions and utilizing both
- Work closely with other machine learning and data platform engineers to improve the tools and processes used for developing data products
- Mentor junior engineers, providing guidance, support, and technical leadership in AI algorithm development and best practices, especially in the deep learning and language modeling space
- Maintain expertise in the latest advancements in AI technology, exploring innovative approaches and techniques for practical application
We are looking for people who have:
- Masters or PhD in CS, Math, Physics, or similar engineering/science discipline or equivalent practical experience
- Experience with machine learning algorithms and tools, artificial intelligence, deep learning, natural language processing, or other ML disciplines
- Expertise with data exploration, visualization, and SQL queries
- Experience with large-scale data and commercial ML platforms
- Prior industry experience building end-to-end machine learning systems and shipping to production
- Proficiency in problem-solving and analytical skills, with proven experience in innovating solutions for complex challenges
- Strong communication skills and are adept at conveying technical concepts to non-technical stakeholders and collaborating across teams.
Bonus Points
- Scala (or other functional) programming experience
- Databricks or AWS experience
- Exposure to marketing technology
Perks & Benefits:
- Paid parental leave
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $133,500 - $206,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at [email protected] upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
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.