Product Manager, CX: IFS Loops

Requirements

• 5+ years of product management or startup experience building technically complex, user-facing systems
• Strong intuition for applied use cases - especially in automation, operations, or real-world workflows
• Familiarity with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems)
• Experience working closely with engineers and researchers on system-level product decisions
• Strong communication, prioritization, and execution skills
• Exposure to or interest in domains like logistics, field ops, manufacturing, or systems integration
• Background in AI/ML infrastructure, developer platforms, robotics, or IIoT
• Experience designing for human-in-the-loop or semi-autonomous systems
• Hands-on experience with prototyping workflows or agents using modern frameworks (e.g. LangGraph, AutoGen)
• We're building intelligent, autonomous AI agents that can reason, plan, and act across real-world workflows. These agents go beyond chat - they take meaningful action, work across tools and systems, and operate in complex, high-stakes environments.
• As our Product Manager , you'll lead the definition and delivery of early use cases for Customer experience. You'll turn cutting-edge agent capabilities - like long-term memory, tool use, and planning - into applied, valuable products .
• You'll be use-case-driven, but platform-aware - working closely with engineering and research to ensure what we build is feasible, scalable, and aligned with the underlying agent architecture.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Additional Information

Use Case Discovery & Validation I dentify and prioritize agent use cases with high ROI: operational automation, coordination agents, internal task delegation, etc. Work with users and stakeholders to understand their workflows, challenges, and trust boundaries. Prototype and iterate agent behaviors in production-like environments to validate fit and reliability. Experience with Support Tech Stacks: Deep familiarity with CRM and Help Desk platforms like Zendesk, Salesforce Service Cloud, or Jira Service Management. Product Design and execution Define the agent experience -from delegation to monitoring to escalation for real-world scenarios. Translate use cases into clear product specs: user flows, system interactions, prompts, safety requirements, and interfaces. Own the roadmap and ship iteratively: starting small, learning fast, scaling wisely. Proven track record of building or optimizing Help Centers, Knowledge Bases, or AI Chatbots that successfully diverted support tickets Cross-Functional Collaboration Collaborate with engineering to align product needs with agent platform capabilities (planning, memory, tool orchestration, retries, etc.). Partner with AI research to bring experimental features into real-world settings. Ensure the platform supports the complexity of applied, multi-step, tool-using agents. Strategy & Metrics Define success metrics around outcomes - time saved, accuracy improved, failures recovered - not just clicks or sessions. Build product foundations that allow for vertical reuse, system generalization, and long-term scalability.

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Company Intel

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