Product Manager, Platform - IFS Loops

Role Overview As a 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 . 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—rather than 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) What We’re Offering Salary Range: $170,000 to $185,000 plus bonus potential Flexible paid time off, including sick and holiday Medical, dental, & vision insurance Flexible spending accountsLife insurance and disability benefits Tuition assistance Community 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 #J-18808-Ljbffr IFS