Builder Product Manager, AI Platform & Agentic Workflows

Builder Product Manager, AI Platform & Agentic Workflows

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.

This role is scoped at a staff-level expectation for ownership and impact.

• 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.

• 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,…