Product Manager Platform IFS Loops

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

Benefits offered by this job

Flexible PTO

FSA (Flexible Spending Accounts)

Life insurance & disability benefits

Tuition assistance

Community involvement & volunteering

Job summary

IFS is seeking a Product Manager to lead the definition and delivery of early use cases for agentic AI. You will translate novel capabilities into applied, valuable products and work closely with engineering and research to ensure feasibility and scalability.

Role emphasizes use-case discovery, product design, and cross-functional collaboration with a focus on real-world workflows, like automation and operations, leveraging tools such as LangChain and memory systems.

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.

Responsibilities

• Identify and prioritize agent use cases with high ROI: operational automation, coordination agents, internal task delegation, etc.
• 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.
• 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.
• Collaborate with engineering to align product needs with agent platform capabilities.
• 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.
• Define success metrics around outcomes— time saved, accuracy improved, failures recovered.
• Build product foundations that allow for vertical reuse, system generalization, and long-term scalability.

Skills

PM experience

Applied use cases

Agentic AI patterns

Cross-functional collaboration

Communication & prioritization

Tools

LangChain

OpenAI functions

Memory systems

LangGraph

AutoGen

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.

Responsibilities

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.
• 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.

Qualifications

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: $170,000 to $185,000 plus bonus potential
• Flexible paid time off, including sick and holiday
• Flexible spending accounts
• Life insurance and disability benefits
• Tuition assistanceCommunity involvement and volunteering events

M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug‑Free Workplace. 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