Product Manager, Platform - IFS Loops

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.

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