
501 - 1000 employees
Founded 1997
📣 Marketing
📱 Media
💼 Consulting
💰 Private Equity Round - Stream Companies on 2019-04
Marketing • Media • Consulting
Stream Companies is a full-service advertising and marketing agency that partners with businesses to drive growth through integrated digital and traditional advertising. Founded in 1996 and headquartered in West Chester, PA, Stream provides performance marketing, creative & content, and technology-driven marketing solutions (including capabilities tied to proprietary/partnered tech like fullthrottle. ai). The firm serves multiple verticals — notably automotive, commerce/retail, healthcare, finance, manufacturing, and home services — and highlights strong client retention and growth metrics on its website.
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501 - 1000 employees
Founded 1997
📣 Marketing
📱 Media
💼 Consulting
💰 Private Equity Round - Stream Companies on 2019-04
Marketing • Media • Consulting
Stream Companies is a full-service advertising and marketing agency that partners with businesses to drive growth through integrated digital and traditional advertising. Founded in 1996 and headquartered in West Chester, PA, Stream provides performance marketing, creative & content, and technology-driven marketing solutions (including capabilities tied to proprietary/partnered tech like fullthrottle. ai). The firm serves multiple verticals — notably automotive, commerce/retail, healthcare, finance, manufacturing, and home services — and highlights strong client retention and growth metrics on its website.
• 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
• Extensive experience architecting and integrating data solutions across large, multi-source environments, including CRM, transactional, inventory/product feeds, and marketing/campaign data • Ability to reason broadly about data architecture and quickly become a Snowflake power user • Hands-on experience building applications or workflows using AI coding agents and assistants such as Claude Code, GitHub Copilot, or Cursor • Working familiarity with GenAI or LLM-powered products, including RAG concepts, chunking, retrieval, embeddings, and output-quality evaluation • Track record of owning data integration across multiple sources for a customer-facing product • Experience translating business or marketing requirements into technical specifications and acceptance criteria for distributed or offshore development teams • Retail marketing or merchandising background, including promotions, incentives, offers, personalization, or customer-facing digital retail experiences • Strong data manipulation, automation, and light AI/workflow development skills • Excellent communication across executive and developer audiences • Ability to drive strategy, architecture, and delivery quality directly without relying on formal management authority • Automotive experience is a strong plus, not a requirement • Direct Snowflake experience, multi-tenant SaaS experience, offshore engineering leadership, automotive retail/dealer marketing/martech background, and familiarity with PHP, Laravel, Vue.js, or comparable frameworks are nice to have, not required
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