Stream Companies

Product Manager

• Own the data product and principal analyst responsibilities for Ask Liv, Stream's AI assistant built on Snowflake Cortex inside OrangeOS
• Own semantic views, business definitions, Snowflake access controls, and data model audits for Ask Liv
• Control retrieval accuracy through chunk sizing, document parsing, embedding configuration, output reconciliation, and evaluation test sets
• Maintain and monitor ingestion pipelines for inventory, dealer feeds, CRM, and marketing data
• Translate business questions into OrangeOS data structures and define acceptance criteria
• Lead the data and delivery strategy for Liquid Shopper's dealership back-office systems integration
• Analyze DMS, IMS, and CRM systems and map their data to functionality and value in Liquid Shopper
• Own data integration architecture for the multi-tenant platform, including inventory, incentive, pricing, and marketing content
• Translate dealer and retail-marketing requirements into technical specifications and acceptance criteria
• Champion AI-assisted, agentic development with the offshore team
• Drive sprint planning, backlog prioritization, and quality review as the senior technical voice
• Partner with the VP of Product on scope, sequencing, and trade-offs as Liquid Shopper becomes a sellable product

Director, Data Products – Platform Strategy

Platform Engineer

• Take full ownership of AWS environments, including EC2, RDS, S3, ELB, and Lambda, ensuring peak performance and 99.9% availability
• Monitor and optimize cloud spend
• Maintain servers, load balancers, and security protocols including IAM and AWS Cognito
• Maintain and harden deployment pipelines for seamless, low-risk releases
• Serve as technical steward for automated testing tools including Pest PHP and Playwright
• Collaborate with the development team to identify infrastructure bottlenecks and framework issues affecting performance
• Provide systems-level support during sprints
• Troubleshoot environment-specific bugs and optimize data pipelines involving Snowflake and Aurora