Software Engineer 3
Build and maintain scalable martech platforms, backend services, integrations, automations, and AI-enabled workflows. The role requires at least three years of professional software engineering experience, strong JavaScript or Python skills, and experience with production systems, cloud services, and CI/CD.
About the job
Responsibilities
- Build and maintain production-quality software powering martech experiences.
- Design and implement backend services, internal tools, automations, and integrations across the martech ecosystem.
- Improve system reliability, observability, maintainability, and developer experience across team platforms.
- Contribute to experimentation, personalization, and data workflows supporting customer and developer experiences.
- Evaluate and apply AI-enabled capabilities and tools to improve engineering velocity, quality, or user experience.
- Participate in code reviews, technical design discussions, and team planning.
- Own projects from implementation through rollout, monitoring, and iteration.
Requirements
- 3+ years of professional software engineering experience building and supporting production systems.
- Strong coding skills in one or more modern programming languages, such as JavaScript or Python.
- Experience building web applications, backend services, APIs, data pipelines, or internal platforms.
- Solid understanding of software engineering fundamentals, including testing, debugging, code quality, and maintainability.
- Experience with cloud services, CI/CD workflows, and modern development practices.
- Ability to work across systems and collaborate effectively with cross-functional partners.
- Strong written and verbal communication skills.
- Experience partnering with marketing, sales, and revenue operations teams to translate business requirements into technical specifications.
- Curiosity, ownership, and a practical approach to solving ambiguous problems.
Nice to Have
- Experience with go-to-market platforms such as Marketo, Salesforce, Segment, or advertising platforms.
- Experience with analytics or experimentation platforms.
- Ability to map lead flows and trace a lead’s path from website through opportunity.
- Familiarity with data pipelines, event instrumentation, or web performance optimization.
- Experience integrating AI- or machine-learning-powered capabilities into products, workflows, or developer tooling.
- Comfort using AI-assisted engineering tools thoughtfully to improve delivery speed and quality.
Compensation and Benefits
- Supportive and enriching culture.
- Employee affinity groups.
- Fertility assistance.
- Generous parental leave policy.
- Disability accommodations available during the application and interview process.
Skills
JavaScript, Python, Web Applications, Backend Services, APIs, Data Pipelines, Cloud Services, CI/CD, Testing, Debugging, Marketo, Salesforce, Segment, Machine Learning, Web Performance Optimization
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