Product Manager: AI Agents & Real‑World Workflows

IFS; Palo Alto (CA); Hybrid; USD 170,000 - 185,000; Full time

Benefits offered by this job

Flexible paid time off

Medical, dental & vision insurance

Tuition assistance

Community involvement and volunteering

Job summary

IFS is building intelligent, autonomous AI agents that can reason, plan, and act across real‑world workflows. As Product Manager, you’ll lead the definition and delivery of early use cases for agentic AI, turning capabilities like long‑term memory, tool use, and planning into applied, valuable products.

You’ll work cross‑functionally with engineering and research to ensure feasibility, scalability, and alignment with the underlying agent architecture.

Qualifications

• 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, memory systems).
• Experience working closely with engineers and researchers on system‑level product decisions.
• Strong communication, prioritization, and execution skills.

Responsibilities

• Identify and prioritize agent use cases with high ROI: automation, coordination agents, internal task delegation.
• Work with users and stakeholders to understand workflows, challenges, and trust boundaries.
• Prototype and iterate agent behaviors in production‑like environments to validate fit and reliability.
• Define the agent experience—from delegation to monitoring to escalation—for real‑world scenarios.
• Own the roadmap and ship iteratively: starting small, learning fast, scaling wisely.
• Collaborate with engineering to align product needs with platform capabilities (planning, memory, tool orchestration).
• Partner with AI research to bring experimental features into real‑world settings.
• Define success metrics around outcomes—time saved, accuracy improved, failures recovered.

Skills

Product management

Automation use cases

Strategic thinking

Cross-functional collaboration

Communication

Tools

LangChain

OpenAI functions

Memory systems

tool orchestration

LangGraph

Job description

IFS is building intelligent, autonomous AI agents that can reason, plan, and act across real‑world workflows. As Product Manager, you’ll lead the definition and delivery of early use cases for agentic AI, turning capabilities like long‑term memory, tool use, and planning into applied, valuable products.

You’ll work cross‑functionally with engineering and research to ensure feasibility, scalability, and alignment with the underlying agent architecture.