Capital One Logo

Capital One

Senior Lead Software Engineer, Marketing and Messaging Experimentation

Posted 8 Days Ago
Be an Early Applicant
In-Office
Plano, TX
209K-262K Annually
Senior level
In-Office
Plano, TX
209K-262K Annually
Senior level
Architect and scale enterprise experimentation, audience segmentation, and customer journey decisioning systems for personalized marketing and messaging. Design high-performance, low-latency platforms using distributed streaming, machine learning, AI, and agentic workflows. Partner with data science, product, and engineering teams, develop experimentation and testing frameworks, and mentor software engineers while driving technical innovation and architectural excellence.
The summary above was generated by AI
Senior Lead Software Engineer, Marketing and Messaging Experimentation
Are you driven to revolutionize intelligent platforms and build high-impact systems at enterprise scale? Do you excel at tackling complex engineering puzzles where big data, machine learning, and cutting-edge technology converge? At Capital One, you'll join a dynamic group of makers, breakers, doers, and disruptors who build solutions that directly impact millions of customers. We are seeking a Senior Lead Software Engineer to architect and scale our next-generation capabilities across experimentation, audience segmentation, and journey decisioning within our marketing and messaging platforms to drive deeply personalized, AI-powered customer experiences.
What You'll Do:
  • Serve as a technical innovator and cross-functional architect, partnering with data science, product, and engineering teams to design resilient, system-level architectures for enterprise-wide experimentation, audience segmentation, and customer journey orchestration.
  • Architect and scale high-performance systems and engines across experimentation, audience segmentation, and journey decisioning to optimize message effectiveness and analyze customer responsiveness leveraging advanced ML models and personalization techniques.
  • Integrate cutting-edge AI, agentic workflows, and distributed streaming architectures to power fast, scalable journey orchestration, automated creative testing, and targeted segment delivery across products, messages, and channels.
  • Mentor and guide software engineers while cultivating a culture of technical excellence, continuous experimentation, and hands-on innovation with emerging tech stacks.

Basic Qualifications:
  • Bachelor's Degree
  • At least 6 years of experience in software engineering (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • Master's Degree
  • 9+ years of experience in at least one of the following: Python, Java, Go, SQL, etc
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • 4+ years of experience with distributed streaming technologies (e.g., Apache Kafka)
  • 4+ years of people management experience, or mentoring talented engineers
  • 2+ years of experience in Agile practices
  • Proficiency in system architecture, system design, and large-scale, low-latency applications
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
  • Hands-on experience with Agentic AI workflows/automation, integrating Machine Learning models or AI-driven systems. Experience building or scaling experimentation platforms and A/B, MAB testing frameworks.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $209,000 - $238,500 for Sr. Lead Software Engineer
McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer
Plano, TX: $209,000 - $238,500 for Sr. Lead Software Engineer
Riverwoods, IL: $209,000 - $238,500 for Sr. Lead Software Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Similar Jobs at Capital One

Yesterday
In-Office
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech
Designs, develops, tests, implements, and supports enterprise integration solutions across applications, data sources, and cloud platforms. Leads integration architecture and technical implementation, defines standards and reusable frameworks, supports DevOps automation, and partners with software, data, infrastructure, and architecture teams to ensure interoperability, scalability, resilience, and performance. The role also mentors engineers and promotes modern engineering practices and technologies.
Top Skills: Amazon CloudwatchAPIsAWSAws LambdaAws Step FunctionsDatadogGitGoogle Cloud Platform (Gcp)JenkinsJfrog ArtifactoryAzureMulesoftSalesforce CRMSplunk
Yesterday
In-Office
179K-225K Annually
Mid level
179K-225K Annually
Mid level
Fintech
Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, and modern frontend and backend technologies. Provide technical leadership across Agile teams, define service architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and contribute to long-term technology strategy. The role focuses on developer experience and delivering secure, scalable solutions supporting Capital One’s business and regulatory needs.
Top Skills: Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNosql DatabasesObservabilityOpen Source RdbmsPythonRest ApisRustScalaSynchronous ApisTypescript
Yesterday
In-Office
187K-235K Annually
Senior level
187K-235K Annually
Senior level
Fintech
Leads privacy compliance for Capital One Auto, advising business lines on federal and state privacy laws, assessing product and process risks, guiding remediation, monitoring compliance trends, and overseeing program deliverables. The role serves as a privacy subject matter expert, influences controls and procedures, collaborates with internal compliance teams, and manages team performance and stakeholder relationships.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account