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ChimeSan Francisco, CA, USA
Tech Lead Manager (Machine Learning, Growth and Marketing)
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On-siteFull Time$199k - $275k per yearPosted 3 days ago
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 Tech Lead 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 Tech Lead 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
- 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 Benefits
- Physical: We believe in taking care of your physical health, so as a Chimer you’ll get medical, dental, and vision insurance, as well as benefits to support your physical activity, family planning, and all of your little Chimers
- Emotional: We know that staying healthy involves a lot more than doctor’s checkups. We partner with Modern Health to help you navigate your mental health, give monthly Take Care of Yourself Days, and want you to take time off when you need it
- Financial: We want Chimers to save and feel financially supported, so we offer savings plans with competitive matching, as well as access to financial planning and legal assistance so that you can find your financial peace of mind
- Social: We’ll celebrate your milestones together with travel stipends, swag, and high-fives and make sure you’re connected to fellow Chimers through our Chime Resource Groups (CRGs) and company events
- If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you
- 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
- Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement
- Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams
- Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment
- Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms
- Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution
- Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data
- M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field
- 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions
- Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker