Engineering Manager

How you will make an impact:

As an AI Manager at Iterable, you will be leading initiatives to drive Data Science and Machine Learning projects that help marketers reach their audiences in more personalized ways. We serve large and small companies spanning many different industries and have the opportunity to work with large and diverse data sets. You'll oversee a team building end-to-end ML systems, optimizing consumer experiences, and scaling to large volumes. Above all, you will be mentoring a group of diverse engineers as well as influencing 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: 

• Lead a diverse team of Data and ML engineers in building end-to-end ML systems to address our business challenges and opportunities
• Collaborate with application engineering, product, and partner teams to design machine learning solutions and plan new capabilities
• Collaborate with research and product teams to deploy generative AI technology and cutting-edge ML models
• Be both highly technical and an effective team leader
• Operationalize ML systems for rapid and safe deployment, ensuring seamless and reliable integrations into our platform
• Mentor and guide team members, fostering their professional growth and development
• Contribute to and promote best practices to write and maintain production-level AI code and ship products in an iterative, continual-release environment
• Attract world-class talent and provide technical guidance, career development, and mentoring to team members
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation

We are looking for people who have:

• University or advanced degree in CS, Math, Physics, or similar engineering/science discipline or equivalent practical experience
• Experience mentoring and managing AI development teams
• Proven experience deploying machine learning systems into Production
• Experience with machine learning algorithms and tools, artificial intelligence, deep learning, natural language processing, or other ML disciplines
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software best practices, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
• Proficiency in problem-solving and analytical skills, with proven experience in innovating solutions for complex challenges
• Excellent communication collaboration skills and are adept at conveying technical concepts to non-technical stakeholders       

Bonus Points

• Scala (or other functional) programming experience
• Experience working with Databricks
• 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 156,000 - 235,000. 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.