Engineering Manager, Machine Learning - Growth and Marketing

About This RoleAI processing…

Key Responsibilities

• 1
  As a Engineering Manager within our Growth and Marketing team, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models.
• 2
  You will play a pivotal role in creating innovative, ground-up products while driving the development of cutting-edge acquisition and retention models and solutions.
• 3
  In this role, you can expect to Lead and inspire a high-performing team of data scientists and ML engineers, ensuring the successful development and deployment of machine learning solutions for customer acquisition, conversion and retention.

Requirements

• 7+ years of experience developing machine learning models for marketing and growth, from inception to production, with a focus on customer acquisition, engagement, and retention.
• 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions.
• Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution.
• Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement.
• Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms.
• Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment.
• M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field.
• Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data.
• Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker.
• Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams.

Perks & Benefits