IFS-posted about 5 hours ago
Full-time • Mid Level
San Francisco, CA
5,001-10,000 employees

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 for OEM Engineering, 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.

  • 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.
  • Drive OEM partnerships and product strategy to integrate and scale AI agents within enterprise software ecosystems.
  • 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.
  • 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
  • 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)
  • 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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service