Technical Product Lead

Job not on LinkedIn

🕒 Yesterday

🇺🇸 United States – Remote

💵 $50 - $70 / hour

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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High Bridge Consulting LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

High Bridge Consulting LLC is a bottom-up, people-first consulting and staffing firm that helps enterprises with digital transformation and technology-focused talent solutions. The company emphasizes integrity, quality, and collaboration, positioning itself as a knowledge management partner that supports clients, associates, vendors and partners across areas such as AI/ML, IoT, blockchain and other digital initiatives. High Bridge provides consulting services and places skilled associates to enable clients' success while fostering a creative, supportive environment for its consultants.

📋 Description

• Define KPIs for commercial knowledge accuracy, freshness, ownership, review adherence, reliability and AI readiness • Establish baselines for trusted knowledge and identify areas requiring intervention • Measure and advance content review and governance automation • Create actionable reporting on healthy, stale, unowned or unreliable content • Define the architecture and roadmap for agentic knowledge capabilities • Lead or directly support development and prototyping of AI agents grounded in enterprise knowledge • Design collaboration among multiple agents and AI capabilities • Establish retrieval, grounding, integration, security and evaluation standards for production agentic capabilities • Translate emerging AI capabilities into practical commercial use cases with technical resources • Define onboarding and adherence models for internal knowledge providers • Establish standards for content review, metadata, taxonomy, ownership, lifecycle and governance • Create a scalable enterprise knowledge framework that other internal organizations can adopt • Enable trusted knowledge consumption through search, enterprise workflows and AI/agentic experiences • Lead technical product/program initiatives from concept through prototype, deployment and measurable adoption

🎯 Requirements

• Demonstrated experience taking enterprise AI, Generative AI or agentic solutions from concept through production and adoption • Strong working knowledge of LLMs, Retrieval-Augmented Generation (RAG), enterprise/semantic search and agentic architectures • Experience designing or directing agent workflows, retrieval and grounding approaches • Experience integrating enterprise knowledge and data through APIs, connectors, retrieval pipelines or similar integration approaches • Strong understanding of knowledge architecture, taxonomy, metadata, content lifecycle and information governance • Experience measuring content quality, retrieval effectiveness, AI reliability and/or user adoption • Sufficient technical depth to work directly with engineers and architects, challenge technical decisions and translate business requirements into scalable solutions • Demonstrated ability to lead complex cross-functional technology programs and technical resources • Experience with AI and retrieval technologies including LLMs, RAG, agentic AI, multi-agent orchestration, semantic search, embeddings, vector search, AI grounding and evaluation • Experience with APIs, JSON, enterprise connectors, structured/unstructured data, authentication/permissions and cloud architecture • Experience with Microsoft 365, SharePoint, Copilot Studio, Power Platform, Power Automate, Microsoft Graph and/or Azure AI • Working knowledge of Python, SQL, low-code development, APIs and modern AI prototyping techniques

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