Software Engineer, Lifecycle

How you’ll make an impact

• Design and build scalable backend services that power our unified communications platform across SMS, email, push, and future channels.
• Develop systems for real-time, event-triggered messaging and self-serve marketing automation and experimentation capabilities.
• Translate large, complex datasets into high-leverage marketing capabilities through APIs, streaming pipelines, and reverse ETL workflows.
• Partner closely with product managers, lifecycle marketing, data insights, analytics, and data platform teams to define requirements and deliver impactful, data-driven solutions.
• Lead medium-sized projects independently—proactively identifying risks, managing ambiguity, and driving execution from design through launch.
• Strengthen our engineering culture by improving system reliability, accelerating iteration, and clearly communicating technical trade-offs to cross-functional stakeholders.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
• Experience building and operating microservices and APIs in a cloud environment (preferably AWS).
• Proficiency in at least one backend language such as Kotlin, Java, Ruby, or Python.
• Demonstrated ability to independently execute on projects, navigate ambiguity, and collaborate effectively with cross-functional partners.
• Excellent written and verbal communication skills with the ability to work in a distributed team

Preferred Qualifications

• Experience supporting Marketing, Growth, or GTM teams, particularly in environments involving CDPs, customer segmentation, or campaign orchestration.
• Experience with reverse ETL tools (e.g., Hightouch, Census), data pipeline tooling (e.g., Airbyte, Fivetran, Databricks), or marketing automation platforms (e.g., Iterable, Braze, or Salesforce Marketing Cloud).
• Familiarity with real-time event streaming systems and high-throughput messaging architectures.
• Experience integrating with third-party APIs and building systems that ingest, transform, and expose large volumes of data.
• Track record of leading medium-to-large projects and contributing to system design decisions with long-term platform impact.