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Position of Product Manager; Local

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-10-10
Job specializations:
  • Business
    Business Systems & Technology Analysis
  • IT/Tech
    Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Hi,

Urgent position of Product Manager (Local Only)

Location – Dallas,TX (Onsite)

Project Scope

We are seeking an experienced Product Manager – Online/Digital Banking platforms with a strong background in enterprise applications and banking technology.

Key Responsibilities
  • Define and execute product vision, strategy, and roadmap.
  • Collaborate with business, technology, and banking stakeholders to deliver digital banking solutions.
  • Drive requirement gathering, prioritization, and product delivery.
  • Lead GenAI and RAG-based initiatives to enhance customer and business experiences.
  • Ensure scalable, secure, and high-availability product design and implementation.
Required Skills
  • 10+ years of Product Management / Technical Business Analysis experience on enterprise-scale applications.
  • Product Management experience with Banking customers, preferably Online/Digital Banking platforms.
  • Strong understanding of N-tier application architecture and end-to-end request lifecycle (UI Services Integrations Data).
  • Deep knowledge of APIs, middleware, databases, backend services, and batch processing.
  • Experience translating business requirements into product roadmaps, user stories, and technical specifications.
  • Strong understanding of REST/SOAP APIs, integration patterns, synchronous/asynchronous workflows, and message queues.
  • Ability to review and document architecture, sequence flows, and integration designs.
Preferred Skills
  • Experience with GenAI, Machine Learning, and AI-powered enterprise solutions.
  • Understanding of RAG architecture, vector databases, embeddings, and vectorization.
  • Knowledge of chunking strategies (fixed, semantic, overlapping) and their impact on retrieval quality.
  • Experience integrating AI/LLM solutions into enterprise applications
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