20 days ago
Base Salary
$130k - $197k/yr
Responsibilities
- Design, build, and scale Data Marketplace capabilities across APIs, services, and user-facing workflows.
- Lead medium-to-large technical initiatives from design through production rollout.
- Drive architecture and implementation decisions for marketplace discovery, activation, monetization, and partner integrations.
- Improve reliability, observability, performance, and operational excellence across production systems.
- Collaborate with cross-functional partners to translate product requirements into technical solutions.
- Contribute to code reviews, testing practices, technical documentation, mentoring, and team decision-making.
- Support AI-forward marketplace experiences, including automated discovery and access to premium data.
Requirements
- 5+ years of professional software engineering experience building and operating production systems.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Strong experience with scalable distributed systems, APIs, and data-intensive applications.
- Proficiency in one or more backend programming languages such as Go or Python.
- Experience contributing across modern application stacks, including backend-heavy or full-stack projects.
- Track record of driving projects from concept to launch and influencing technical direction across teams.
- Strong communication, collaboration, code quality, testing, maintainability, and operational excellence skills.
- Preferred experience with TypeScript, React, Kubernetes, Google Cloud Platform, event-driven or streaming systems, background job orchestration, distributed data workflows, AdTech, MarTech, data marketplaces, privacy-conscious data products, legacy modernization, or AI-enabled product experiences.
Categories
About LiveRamp
LiveRamp builds a data collaboration and identity resolution platform used by brands, publishers, and agencies to connect and activate customer data across channels with privacy controls. It sells enterprise software and services—including data clean rooms, onboarding, and a data marketplace—typically via subscriptions and usage-based fees. Founded in 2011 and headquartered in San Francisco, it is a public company traded on the NYSE.