Software Engineer, Lifecycle

Upstart is a leading AI lending marketplace committed to reducing the cost and complexity of borrowing for Americans. They are seeking a Software Engineer to develop innovative solutions for their Lifecycle Platform team, focusing on scalable backend services and impactful customer engagement strategies.

Responsibilities:

• 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

Requirements:

• Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 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
• 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