> Markdown version of [/jobs/ext/733626-builder-product-manager-ai-platform-agentic-workflows](https://www.wearedevelopers.com/jobs/ext/733626-builder-product-manager-ai-platform-agentic-workflows). 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). --- # Builder Product Manager, AI Platform & Agentic Workflows - **Company:** Articul8, LLC - **Location:** Dublin, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Debugging, Graph Database, Knowledge-Based Systems, Software Systems, Data Ingestion, Large Language Models, AI Platforms, Bug Reporting - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4a57e1636929b93b ## About the Role Do you have experience in Triage?, * 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. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [API, MCP or MCP App? Choosing the right surface for AI agents](https://www.wearedevelopers.com/videos/100305-api-mcp-or-mcp-app-choosing-the-right-surface-for-ai-agents) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)