> Markdown version of [/jobs/ext/1857146-remote-product-analyst-iii-context-designer](https://www.wearedevelopers.com/jobs/ext/1857146-remote-product-analyst-iii-context-designer). 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). --- # Remote- Product Analyst III - Context Designer - **Company:** Apetan Consulting - **Location:** Carrollton, TX, United States - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Logic, Databases, Data Files, Software Product Management, Large Language Models, Generative AI, Data Management, Virtual Agents - **Published:** July 20, 2026 - **Apply:** https://www.dice.com/job-detail/13730a99-11d9-4c95-a48b-4dfe91815a07 ## About the Role * 3-5 years of experience as a Product Analyst, Business Analyst, or similar role (targeting Analyst III level). * A non-engineer with a strong "technical bent" and the ability to quickly grasp Generative AI concepts (e.g., RAG, LLM orchestration, prompt tuning). * Solid Financial Services and mortgage industry experience strongly preferred, * Strong Product Analyst/Product Owner background with a technical mindset. * Experience with Generative AI and conversational AI/voice bot products. * Experience designing customer-facing AI experiences rather than internal data management tools. * Comfortable working closely with both business stakeholders and engineering teams. * Strong skills in prototyping, requirement gathering, backlog management, and roadmap planning. * Mortgage industry experience is a plus (secondary preference). * Overall, this is a semi-technical product role with a strong focus on AI product development. ## Description We are seeking a highly analytical and detail-oriented Product Analyst to act as a "Context Designer" for Client's voice AI and prompt-driven initiatives. While this is a non-engineering role, it requires a strong technical bent. You will focus on driving use case context development by drafting natural language prompts, configuring conversational flows, and refining business requirements across CDL/Sales, Servicing, and Production/MFD., * Prompt & Flow Design: Act as a "Context Designer" to write, refine, and configure natural language prompts and conversational flows based on defined business logic. * Requirements Gathering: Collaborate daily with sales, servicing, and fulfillment teams to capture, define, and negotiate business requirements for AI agent interactions. * Knowledge Base Curation: Review and curate operational PDFs and documentation to provide a verified "Source of Truth" for the RAG Vector Database. * A/B Testing & Analysis: Execute A/B tests on various prompt configurations and analyze the resulting data to improve accuracy, tone, and resolution rates. * Evaluation Support: Assist the Product Owner in defining and documenting the "Golden Dataset" of test scenarios to support automated AI evaluations. * Technical Collaboration: Work alongside platform engineers who manage the underlying technical architecture within the AWS tech stack to ensure successful API handshakes and platform functionality. ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How To Use ChatGPT To Make Money](https://www.wearedevelopers.com/magazine/354-how-to-use-chatgpt-to-make-money)