> Markdown version of [/jobs/ext/1930770-lead-product-software-engineer-data-foundation-platform-in-san-francisco](https://www.wearedevelopers.com/jobs/ext/1930770-lead-product-software-engineer-data-foundation-platform-in-san-francisco). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Product Software Engineer - Data Foundation Platform in San Francisco - **Company:** Energy Jobline - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $155,700.0 - $208,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Graph Database, Software Product Management, Data Processing, Cloud Platform System - **Published:** August 5, 2026 - **Apply:** https://www.energyjobline.com/job/lead-product-software-engineer-data-foundation-platform-san-francisco-31342299 ## About the Role We're looking for a Lead Software Engineer to join our Data Foundation Platform team. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.). We are looking for a rockstar engineer with experience building AI tools and services that help build the knowledge graph and the AI intelligence layer for a suite of disney products. The successful candidate will have a passion for technology and solid coding skills. Knowledge of specific technologies may be helpful but is less important than an ability to learn quickly. We value team members who aren't afraid to dive deep when required, think for themselves, and have great communication and teamwork skills. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI](https://www.wearedevelopers.com/videos/1024-databaseless-data-processing-high-performance-for-cloud-native-apps-and-ai) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)