Tech Lead Manager, Machine Learning, Growth and Marketing

Chime

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$199,000–$275,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $237k
$168k most similar roles pay here $286k

This role pays more than 60% of similar roles. Most pay $184,937–$259,598 — the shaded band above. At the midpoint, this role pays about $237k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 37 open roles on FindRole.

Listed pay typically runs $158,000–$227,000 across 36 roles with salary data.

Most-posted roles

View all roles at Chime

At a glance

TL;DR · Tech Lead Manager, Machine Learning, Growth and Marketing

As a Tech Lead Manager, Machine Learning, Growth and Marketing, you will join the Data Science and Machine Learning team to lead a group of data scientists and machine learning engineers. You will oversee the end-to-end development of innovative growth and marketing models designed to improve customer acquisition, conversion, and retention while expanding access to credit. Your daily responsibilities include driving strategic ML initiatives, establishing best practices for model deployment and monitoring, and collaborating cross-functionally with product and engineering teams. The role requires expertise in Python, SQL, and advanced techniques such as clustering, reinforcement learning, and NLP. You will utilize a technical stack including AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker to solve complex problems regarding customer segmentation, lifetime value prediction, churn risk modeling, and multi-touch attribution within the financial services domain.

What you'll do

  • Lead a team of data scientists and machine learning engineers to develop models for customer acquisition and retention.
  • Define the strategic direction for ML initiatives to optimize the marketing and growth funnel.
  • Oversee end-to-end development of models for LTV prediction, churn risk, segmentation, and multi-touch attribution.
  • Utilize transactional and behavioral data to improve customer targeting and optimize acquisition spend.
  • Establish best practices for model development, validation, deployment, and monitoring to ensure scalability.
  • Partner with cross-functional teams to align machine learning initiatives with core business objectives.
  • Promote a data-driven culture by using experimentation and predictive analytics to guide strategic decisions.

What we're looking for

  • 7+ years of experience developing machine learning models for marketing and growth from inception to production.
  • 5+ years of experience leading data science teams with a track record of mentoring and coaching.
  • Expertise in marketing and growth analytics, including LTV modeling, churn prediction, and multi-touch attribution.
  • Deep understanding of AI/ML techniques such as classification, clustering, reinforcement learning, deep learning, and NLP.
  • Hands-on experience deploying machine learning models into real-world production environments and marketing tech stacks.
  • M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field.
  • Proficiency in Python and SQL for building ML pipelines and wrangling large-scale data.
  • Experience with modern technologies including AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker.

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