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Chime

Runs a mobile banking app with no monthly fees

Tech Lead Manager - Machine Learning, Growth and Marketing

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 7 years of experience developing machine learning models for marketing and growth from inception to production, focused on customer acquisition, engagement, and retention.
  • At least 5 years of experience leading data science teams, including mentoring, coaching, and delivering impactful machine learning solutions.
  • Expertise in marketing and growth analytics, including customer segmentation, lifetime value modeling, churn prediction, referral systems, and multi-touch attribution.
  • Understanding of artificial intelligence and machine learning techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and natural language processing for customer engagement.
  • Hands-on experience deploying machine learning models in production environments and integrating them with marketing technology stacks and growth platforms.
  • Product intuition and ability to work iteratively in a fast-paced, cross-functional environment.
  • Master of Science or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field.
  • Proficiency in Python and SQL, including building machine learning pipelines and wrangling large-scale data.
  • Experience with modern machine learning and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker.
  • Communication and stakeholder management skills for partnering with marketing, growth, product, and engineering teams.

Responsibilities

  • Lead and inspire a team of data scientists and machine learning engineers to develop and deploy machine learning solutions for customer acquisition, conversion, and retention.
  • Drive strategic direction for machine learning initiatives in marketing, engagement, and growth by identifying opportunities to optimize the customer funnel with artificial intelligence and machine learning.
  • Oversee end-to-end development of machine learning models, including lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications.
  • Collaborate with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives.
  • Use transactional and behavioral data to improve customer targeting, optimize acquisition spending, and strengthen retention strategies.
  • Establish machine learning best practices for model development, validation, deployment, and monitoring to ensure scalability and business impact.
  • Promote a data-driven culture and partner with business leaders to inform strategic decisions through experimentation and predictive analytics.
  • Monitor industry trends and bring advanced artificial intelligence and machine learning techniques into marketing and growth strategies.

About the Company

Chime

Runs a mobile banking app with no monthly fees

Chime runs a mobile banking app for everyday Americans, with accounts held at federally insured banks and no monthly or overdraft fees. It made its name by releasing direct-deposit paychecks up to two days early, and in 2019 it introduced SpotMe, which covers small overdrafts without a fee. Members spend with a Visa debit card or the Chime Card, a credit card backed by their own deposits that builds credit, and get part of their pay before payday through MyPay. Chime makes most of its money from the swipe fees merchants pay when members use its cards, plus charges and interest on instant transfers, pay advances, and small loans. Chime was founded in 2012 and is based in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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