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Builder Product Manager, AI Platform & Agentic Workflows

Articul8· Product Management
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Dublin, CA (HQ)Full-timePosted 3mo ago

About the role

Product Manager role focused on delivering customer-facing AI workflow experiences (multi-agent missions, natural-language queries over domain knowledge graphs, SDK-based applications, agents, and MCP-enabled tools) for Articul8's AI platform and agentic workflows.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Qualifications

  • 4+ years of overall professional experience in product management (or product-adjacent technical roles such as engineering, solutions engineering, or technical implementation) with a 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.

Skills

Required:Product managementTechnical requirements translationHands-on prototypingKnowledge of agents and tool-calling (MCP-style)End-to-end testing & debuggingCommunication & documentation
Last updated Aug 5, 2026. Interested? Apply on the company site.
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About Articul8

The GenAI platform that simply works.

The Domain-Specific GenAI Platform, Purpose-Built for Your Data and Mission

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