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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Builder Product Manager, AI Platform & Agentic Workflows - **Company:** Articul8, LLC - **Location:** Dublin, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Debugging, Graph Database, Knowledge-Based Systems, Software Systems, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, AI Platforms, Bug Reporting, AI Co-pilot - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/builder-product-manager-ai-platform-agentic-workflows-dublin-ca--8891cfa1-9c31-4c59-b3cc-145acb38a54b ## About the Role * 4+ years of overall professional experience in product management (or product-adjacent technical roles such as engineering, solutions engineering, or technical implementation), with a demonstrated track record of shipping complex platform products end-to-end. * Strong technical foundation across software systems, APIs, SDKs, data workflows, AI applications, enterprise platforms, and/or cloud-based systems. * Hands-on experience building prototypes, workflow applications, demos, internal tools, agentic workflows, or customer proof-of-concepts. * Familiarity with agents and tool-calling (including MCP-style tools), LLM applications, RAG, knowledge systems, and AI copilots. * Ability to translate ambiguous customer needs into clear technical requirements and acceptance criteria for engineering. * Demonstrated ability to test product features end-to-end, troubleshoot issues, reproduce bugs, and provide structured feedback. * Strong written and verbal communication, documentation skills, and comfort presenting to technical and non-technical stakeholders. * Comfort operating in a fast-moving environment with evolving customer needs, research priorities, and platform capabilities. Preferred Qualifications * Experience running customer demos, stakeholder updates, and technical product walkthroughs. * Experience reading source code, reviewing repositories, and validating whether fixes have landed across branches/environments. * Experience creating synthetic datasets, evaluation sets, prompt test suites, or domain-specific training examples. * Experience partnering with researchers, data scientists, ML engineers, or applied AI teams. * Experience with knowledge graphs, natural-language query systems, agentic copilots, RAG workflows, or AI evaluation. * Exposure to enterprise domains such as manufacturing, energy, financial services, semiconductors, telecom, healthcare, industrial operations, supply chain, or engineering workflows. * Experience creating product videos or demo walkthroughs. * MBA preferred but not required. ## Description Articul8 AI is hiring a Builder Product Manager, AI Platform & Agentic Workflows to own the delivery of customer-facing AI workflow experiences: multi-agent missions, natural-language query over domain knowledge graphs, SDK-based hyper-personalized applications, agents, and MCP-enabled tools. This is a hands-on, "build-and-ship" product role. You will work directly with customers and internal teams to prototype solutions, validate workflows end-to-end, troubleshoot issues, and translate real-world needs into clear, actionable requirements for engineering and applied research. You will use a state-of-the-art AI platform and feed customer requirements directly to the platform teams to improve both the end-use application and base platform capabilities., * Customer Ownership & Product Delivery + Serve as the customer-facing owner for delivering agentic missions for assigned enterprises, including weekly demos, product updates, technical Q&A, and domain/SME working sessions. + Translate customer needs into product requirements, technical feature requests, acceptance criteria, edge cases, data dependencies, and test scenarios. + Drive delivery from prototype to production-ready quality, balancing customer outcomes with platform constraints and timelines. + Distill customer requests, bugs, platform gaps, and technical constraints into prioritized delivery plans. * Hands-On Building & Prototyping + Build mission-specific experiences using the Articul8 platform, SDK, agents, APIs, and MCP-enabled tools. + Create prototypes, demos, internal tools, interaction flows, and proof-of-concept applications to make customer workflows tangible and testable. + Identify what can be delivered with existing capabilities, where SDK extensions are required, and where platform gaps require new engineering investment. * Testing, Quality & Troubleshooting + Own the quality bar across dev, staging, and customer-facing environments. + Test end-to-end workflows (agent outputs, model behavior, tool calls, data ingestion, UI flows, knowledge grounding, and SDK experiences). + Reproduce failures, isolate root causes, and file high-signal bug reports and triage notes for engineering. + Partner closely with the engineering team to validate fixes and confirm what has landed in source vs. what has been deployed and verified. + Differentiate among product gaps, data issues, model behavior, agent orchestration failures, tool-calling problems, UI gaps, environment mismatches, and engineering defects. * Applied Research Collaboration + Partner with applied research to clarify data needs for training, evaluation, fine-tuning, and experimentation. + Help collect, organize, and document datasets needed for training and testing. + Support the data creation process by defining realistic workflow scenarios, edge cases, expected outputs, and failure modes. + Test models, inspect outputs, compare results against expectations, and provide structured feedback. * Documentation, Competitive Analysis & Communication + Produce high-quality product and technical documentation: requirements, workflow guides, SDK notes, test plans, troubleshooting guides, handover docs, release notes, and demo scripts. + Analyze competitor offerings across enterprise AI platforms, agents, MCP ecosystems, workflow automation, knowledge graphs, and evaluation tooling; translate insights into product recommendations. + Create customer-ready materials including walkthroughs, demos, technical explainers, and presentations. + Mentor interns with structured feedback and product judgment., * Practice Humility: You ask questions even when you think you know the answer. You seek feedback early, learn from anyone regardless of title, and treat every experiment - especially the failures - as data. * Bias for Outcomes: You measure your work by what changed, not what you tried. You ship results, not slide decks. When a deadline is real, you find a way. * Care Deeply: You treat every problem as yours to solve. You review your own work with the rigor you'd want from a reviewer. You help teammates without being asked. * Dare to Do the Impossible & Embrace Scarcity: You set goals that make you uncomfortable. When told something can't be done, you find a way or a better question. Constraints sharpen your thinking, not slow it down. * Build a Better World: You believe AI should make things meaningfully better for real people. You hold yourself accountable not just for whether your model works, but for what it does in the world.