Top Tech Jobs & Startup Jobs

Lead the design, implementation, deployment, and operation of machine-learning platform capabilities. Build scalable systems for model serving, feature computation, data validation, workflow orchestration, monitoring, and production support. Own complex initiatives and investigations end to end, improve reliability and developer experience, mentor engineers, conduct design reviews, and guide technical strategy while partnering with Data Science, Product, Risk, Fraud, and Engineering teams.

Operate and improve Oportun’s production data platform across Databricks, AWS, Spark, databases, infrastructure, and integrations. Responsibilities include platform administration, access governance, monitoring, incident response, automation with Terraform and CI/CD, database support, security controls, performance and cost optimization, documentation, and on-call production support. The role partners with data, infrastructure, security, database, and application teams to improve reliability and operational efficiency.

Coordinates repossession and vehicle remarketing activities for delinquent accounts. Responsibilities include member and vendor communication, account reviews, required letters and scrubs, inventory and status monitoring, workflow issue resolution, escalation, and compliance with lending regulations and company policies.

Leads complex technical programs from inception through delivery, developing roadmaps, schedules, milestones, and execution plans. Partners with engineering and cross-functional teams to manage risks, dependencies, priorities, and stakeholder communication. Improves program management processes and information-flow pipelines through automation, drives predictable execution, and mentors junior program managers. Requires strong technical knowledge of software development methodologies and experience delivering large-scale programs on time and within budget.

Design, build, deploy, and operate scalable backend platform services and shared libraries. Contribute to architecture, reliability, developer experience, continuous delivery, monitoring, alerting, and incident response. Investigate production issues, implement lasting fixes, participate in technical reviews, mentor engineers, and collaborate cross-functionally to deliver business value. The role also encourages thoughtful use of AI tools to improve productivity.

Designs and operates scalable data architectures, pipelines, ETL processes, databases, warehouses, and lakes. Improves data quality, governance, observability, security, and reliability while partnering with stakeholders to develop effective data solutions. Provides technical leadership, mentors engineers, leads code reviews and cross-functional initiatives, resolves production issues, and drives improvements to engineering platforms and practices.

Lead strategy and execution for the AI-powered Savings product, improving user financial health through cross-functional collaboration and product development.

Lead design, build, and optimize scalable data architectures and end-to-end ETL pipelines. Ensure data quality, governance, performance monitoring, mentor engineers, and collaborate with cross-functional teams to deliver reliable data platforms.