IFS
Product Manager, Agentic AI- IFS The Loops
IFS, San Francisco, California, United States, 94199
Product Manager, Agentic AI - IFS The Loops
TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes.
As we grow, we’re looking for driven, collaborative, and ambitious individuals to help us deliver the future of AI-powered operations.
By joining our team, you will have the opportunity to be part of a
global, diverse environment;
you will be joining a
winning team
with a
commitment to sustainability;
and a company where we get things done so that you can
make a positive impact
on the world.
We’re looking for innovative and original thinkers to work in an environment where you can
#MakeYourMoment
so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
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 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 compensation.
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.
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 veteran status. VEVRAA Federal Contractor, Equal Opportunity Employer.
#J-18808-Ljbffr
As we grow, we’re looking for driven, collaborative, and ambitious individuals to help us deliver the future of AI-powered operations.
By joining our team, you will have the opportunity to be part of a
global, diverse environment;
you will be joining a
winning team
with a
commitment to sustainability;
and a company where we get things done so that you can
make a positive impact
on the world.
We’re looking for innovative and original thinkers to work in an environment where you can
#MakeYourMoment
so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
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 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 compensation.
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.
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 veteran status. VEVRAA Federal Contractor, Equal Opportunity Employer.
#J-18808-Ljbffr