SonarSource
Marketing AI Engineer
About this role
Develop and deploy AI-powered marketing solutions that drive customer engagement and business growth. This role bridges marketing strategy and machine learning engineering, requiring expertise in both domains to build scalable systems that enhance campaign performance and personalization.
What you'll do
- Design and implement machine learning models for marketing applications like recommendation engines and customer segmentation
- Build data pipelines and infrastructure to support AI-driven marketing workflows
- Collaborate with marketing and product teams to identify AI opportunities and translate business requirements into technical solutions
- Optimize model performance and ensure production systems maintain reliability and scalability
- Conduct A/B testing and measure impact of AI initiatives on key marketing metrics
- Document solutions and provide technical guidance to cross-functional stakeholders
What they're looking for
- Machine learning and model development (Python, TensorFlow, PyTorch, or scikit-learn)
- Data engineering and ETL pipeline construction
- Marketing analytics and business acumen
- Cloud platforms (AWS, GCP, or Azure)
- SQL and data warehousing
- API development and software engineering best practices
- Statistical analysis and experimentation design
- Communication across technical and non-technical audiences
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SonarSource
SonarSource builds AI-powered code review and verification solutions that help enterprises ensure software quality, security, and governance. The company is hiring cloud infrastructure engineers, technical writers, sales engineers, and solutions specialists to support its platform and serve federal and enterprise customers.
- Website
- sonarsource.com
Likely interview questions
- Walk us through a machine learning project you built from concept to production—what was the business outcome?
- How would you approach building a personalization recommendation system for email marketing?