Senior Lead Software Engineer, Marketing and Messaging Experimentation

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
McLean, VAChicago, ILPlano, TXRiverwoods, IL
Employment
Full-time
Posted
50 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $197k
$129k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $170,300–$223,750.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Marketing and Messaging Experimentation

The Senior Lead Software Engineer, Marketing and Messaging Experimentation joins a dynamic team to architect and scale next-generation capabilities for experimentation, audience segmentation, and journey decisioning. This role involves designing resilient, system-level architectures to optimize message effectiveness and analyze customer responsiveness using advanced machine learning models and personalization techniques. You will build high-performance engines, integrate agentic workflows, and develop distributed streaming architectures to power automated creative testing and targeted segment delivery. The position requires proficiency in Python, Java, Go, SQL, and cloud platforms like AWS, GCP, or Azure. Key technical requirements include experience with Apache Kafka, open source frameworks, and large-scale, low-latency applications. You will solve complex engineering puzzles by integrating interactive AI tooling and building A/B or MAB testing frameworks within marketing platforms.

What you'll do

  • Design resilient, system-level architectures for enterprise-wide experimentation, audience segmentation, and customer journey orchestration.
  • Architect and scale high-performance engines to optimize message effectiveness using advanced ML models.
  • Integrate agentic workflows and distributed streaming architectures to power fast, scalable journey orchestration.
  • Implement automated creative testing and targeted segment delivery across multiple products and channels.
  • Mentor software engineers and cultivate a culture of technical excellence and continuous experimentation.
  • Build and scale experimentation platforms including A/B and Multi-Armed Bandit (MAB) testing frameworks.

What we're looking for

  • At least 6 years of experience in software engineering.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
  • Master's Degree (preferred).
  • 9+ years of experience in at least one of the following: Python, Java, Go, SQL, etc. (preferred).
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service (preferred).
  • 4+ years of experience in open source frameworks, distributed streaming technologies, or people management (preferred).
  • 2+ years of experience in Agile practices (preferred).

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