Platform Product Manager - AI Agents & Automation

IFS

California (MO)

On-site

USD 170,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Salary range and bonus potential
Flexible PTO
Medical, dental, vision insurance
Life insurance and disability benefits
Tuition assistance

Job summary

IFS is seeking a Product Manager to lead the definition and delivery of early use cases for agentic AI. You will turn cutting‑edge capabilities—long‑term memory, tool use, and planning—into applied, valuable products.

You will work with users and stakeholders to validate use cases, design the agent experience, and own the roadmap while shipping iteratively and learning fast. This role emphasizes outcomes and scalable, multi‑step workflows.

Qualifications

  • 5+ years building technically complex, user‑facing systems.
  • Strong intuition for applied use cases in automation or real‑world workflows.
  • Familiar with agentic AI patterns and tooling (LLM agents, memory, tool use).
  • Experience partnering with engineers/researchers on system‑level decisions.
  • Excellent communication, prioritization and execution skills.

Responsibilities

  • Identify and prioritize high ROI agent use cases and workflows.
  • Define the agent experience and translate use cases into specs, prompts and interfaces.
  • Maintain a roadmap and ship iteratively, with learning loops.
  • Collaborate with engineering and AI research to enable platform capabilities.

Skills

5+ years PM experience
strong product intuition
agentic AI familiarity
collaboration with engineers/research
clear communication & execution

Tools

LangChain
OpenAI functions
memory systems

Job description

IFS is seeking a Product Manager to lead the definition and delivery of early use cases for agentic AI. You will turn cutting‑edge capabilities—long‑term memory, tool use, and planning—into applied, valuable products.

You will work with users and stakeholders to validate use cases, design the agent experience, and own the roadmap while shipping iteratively and learning fast. This role emphasizes outcomes and scalable, multi‑step workflows.

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