Spring Financial

Technical Product Manager

• Own the underwriting and originations roadmap and maintain a defensible priority order tied to business goals, credit and risk constraints, team capacity, and documented trade-offs
• Replace manual underwriting and origination steps with automated decisioning and measure results against the processes replaced
• Keep a human in the loop for cases requiring manual review
• Own the platform’s API surface, design new APIs, invoke and test API calls, and catch integration issues before QA
• Test loan journeys end-to-end from application through decision to origination
• Validate shipped functionality against requirements and manage issue tracking across engineering, QA, credit, risk, and operations
• Write complete requirements including acceptance criteria, edge cases, API and data notes, validation plans, and rollout considerations
• Own go/no-go criteria, feature flags, phasing, and rollback plans
• Run cross-functional alignment sessions and resolve priority conflicts
• Maintain a discovery cadence using user feedback, support patterns, operational metrics, and competitive benchmarks
• Identify AI opportunities to improve decision quality, automation, or operational productivity
• Own domain KPIs and connect initiatives to documented outcomes
• Mentor L1 product managers

Technical Product Manager II

DevOps Engineer

• Own and evolve infrastructure-as-code for provisioning cloud services and environments
• Maintain and improve CI/CD pipelines, secrets management, and deployment workflows
• Implement observability tooling, automate failure detection, and reduce alert fatigue
• Collaborate with platform, product, and data teams to scale services and reduce latency or bottlenecks
• Work with IT and network teams on system hardening, identity and access management, and secure provisioning
• Contribute to disaster recovery plans, security incident response, and internal system reliability improvements
• Use AI-assisted tooling for IaC, scripting, and runbook authoring
• Build AI-driven workflows such as incident triage, automated PR and IaC review, and ChatOps
• Apply AIOps and LLM-based techniques to observability, including alert correlation, incident summaries, and root-cause analysis

DevOps Engineer II – Contract

Data Engineer

• Build and maintain scalable, secure, and reliable data pipelines and platform components across AWS and Snowflake
• Scope and deliver initiatives that modernize legacy data flows, integrate batch and streaming sources, and enable self-serve analytics
• Apply and improve engineering standards around testing, observability, security, and CI/CD within data systems
• Build AI capabilities into data pipelines, including anomaly detection and automated tagging
• Use AI in development practices, including assisted testing and documentation
• Work with engineers and business partners to clarify requirements, surface risks, and propose practical solutions
• Partner with Analytics, ML, Finance, and other business teams to deliver data meeting latency, accuracy, and governance needs
• Communicate technical trade-offs and work constraints to non-technical partners
• Contribute to technical design discussions, code reviews, and the evolution of data architecture
• Own problems through production while maintaining quality, documentation, and engineering standards

Technical Product Manager II

DevOps Engineer II – Contract

Data Platform Engineer II