Product Manager, Platform

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.

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.
• Owning the roadmap and shipping 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.

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

Salary Range: $170,000 to $185,000 plus bonus potential
Flexible paid time off, including sick and holiday
Medical, dental, & vision insurance
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.