IFS
Product Manager Agentic AI IFS The Loops
IFS, San Francisco, California, United States, 94199
Job Description
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 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. Qualifications: Qualifications Use Case Discovery & Validation Identify 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 & 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. 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. **
Minimum 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, LangChain, OpenAI functions, memory systems) Experience working closely with engineers and researchers on system-level product decisions Strong communication, prioritization, and execution skills **
Preferred
Qualifications ** 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) Additional Information What We’re Offering Salary Range: $175,000-200,000 total comp Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs 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
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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. Qualifications: Qualifications Use Case Discovery & Validation Identify 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 & 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. 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. **
Minimum 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, LangChain, OpenAI functions, memory systems) Experience working closely with engineers and researchers on system-level product decisions Strong communication, prioritization, and execution skills **
Preferred
Qualifications ** 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) Additional Information What We’re Offering Salary Range: $175,000-200,000 total comp Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs 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
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