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IFS

Product Manager, Platform - IFS Loops

palo alto, CA

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About this opportunity

IFS lists this Product Manager, Platform - IFS Loops opportunity in palo alto, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Product Manager, Platform - IFS LoopsWe'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 agentic AI. 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.

Responsibilities:

Use Case Discovery & ValidationIdentify 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.Product Design & ExecutionDefine 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.Cross-Functional CollaborationCollaborate 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 & MetricsDefine 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.Minimum Qualifications5+ years of product management or startup experience building technically complex, user-facing systemsStrong intuition for applied use cases — especially in automation, operations, or real-world workflowsFamiliarity 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 decisionsStrong communication, prioritization, and execution skillsPreferred QualificationsExposure to or interest in domains like logistics, field ops, manufacturing, or systems integrationBackground in AI/ML infrastructure, developer platforms, robotics, or IIoTExperience designing for human-in-the-loop or semi-autonomous systemsHands-on experience with prototyping workflows or agents using modern frameworks (e.g. LangGraph, AutoGen)Salary Range: $170,000 to $185,000 plus bonus potential. Flexible paid time off, including sick and holiday. Medical, dental, & vision insurance. Flexible spending accounts. Life insurance and disability benefits. Tuition assistance. Community involvement and volunteering events.

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