About the Role

Chime's Data Science and Machine Learning team is building models, services, and platforms that transform how millions of users manage and grow their financial lives. We are looking for a hands-on Engineering Manager with deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain. Beyond technical proficiency, we value creativity, user empathy, and strong collaboration.

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. These models will provide critical insights into acquiring, retaining and growing Chime members, broaden access to credit, and ensure financial inclusivity. 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. If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you.

The base salary offered for this role and level of experience will begin at $211,000 and up to $275,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

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.
• Drive strategic direction for ML initiatives in marketing, engagement, and growth by identifying opportunities where AI/ML can optimize our customer funnel.
• Oversee the end-to-end development of machine learning models such as lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications.
• Collaborate cross-functionally with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives.
• Leverage transactional and behavioral data to enhance customer targeting, optimize acquisition spend, and improve retention strategies.
• Establish ML best practices, including model development, validation, deployment, and monitoring, ensuring scalability and business impact.
• Advocate for a data-driven culture, partnering with business leaders to drive strategic decisions through experimentation and predictive analytics.
• Stay ahead of industry trends, bringing cutting-edge AI/ML techniques into our marketing and growth strategies.

To thrive in this role, you have

• 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.

What we offer for our full-time, regular employees

• Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
• Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
• Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
• Generous vacation policy and company-wide paid days off
• 1% of your time off to support local community organizations of your choice
• Annual wellness stipend to use towards eligible wellness related expenses
• Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• Access to family planning reimbursement
• ♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.