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San Francisco, California, United States
Hybrid
LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

LiveRamp is looking for a Senior Software Engineer to help shape the next generation of Data Marketplace capabilities. In this role, you will lead the design and delivery of scalable product and platform features across customer-facing experiences, backend services, and ecosystem integrations. You’ll partner closely with Product, Design, Infrastructure, and other engineering teams to solve complex technical problems and deliver reliable, high-quality systems that directly impact customers.
Design, build, and scale core Data Marketplace capabilities across APIs, services, and user-facing workflows.
Lead medium-to-large technical initiatives from design through production rollout, balancing speed, quality, and maintainability.
Drive architecture and implementation decisions for systems that support 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 pragmatic technical solutions.
Raise the engineering bar through thoughtful code reviews, strong testing practices, and clear technical documentation.
Mentor other engineers, unblock teammates, and help the team make sound tradeoffs in ambiguous problem spaces.
Contribute to the evolution of AI-forward marketplace experiences, including systems that improve automated discovery and access to premium data.
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 designing and delivering scalable distributed systems, APIs, and data-intensive applications.
Proficiency in one or more backend programming languages such as Go, Java, or Python.
Experience working across modern application stacks, with the ability to contribute effectively to backend-heavy or full-stack projects.
Strong ownership mindset with a track record of driving projects from concept to launch.
Ability to work effectively in ambiguous environments and translate business problems into durable technical solutions.
Experience collaborating across teams and influencing technical direction without relying on formal authority.
Passion for code quality, testing, maintainability, and operational excellence.
Excellent communication skills and a collaborative, low-ego working style.
Experience with TypeScript and React for customer-facing product development.
Experience with cloud-native infrastructure such as Kubernetes and Google Cloud Platform.
Familiarity with event-driven or streaming systems, background job orchestration, and distributed data workflows.
Experience in AdTech, MarTech, data marketplaces, or privacy-conscious data products.
Experience building 0-to-1 product capabilities or modernizing legacy systems at scale.
Interest in AI-enabled product experiences, agentic workflows, or automated data discovery.
Work on a business-critical product at the intersection of data, software platforms, and customer experience.
Help define how LiveRamp’s marketplace evolves for AI-native use cases.
Solve meaningful technical problems involving scale, ecosystem integrations, product quality, and responsible data use.
Join a collaborative team that values ownership, pragmatism, and high engineering standards.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
