Product Manager OEM

Were 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 ourProduct Manager for OEM Engineering youll lead the definition and delivery of early use cases for agentic AI. Youll turn cutting-edge agent capabilities like long-term memory tool use and planning intoapplied valuable products. Youll be use-casedriven butplatform-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 aroundoutcomes 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 : Proven experience in product management or startup experience building technically complex user-facing systems Strong intuition for applied use cases especially inautomation 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 PreferredQualifications 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 : We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships. Remote Work : NoEmployment Type : Full-time Key Skills Time Management,Data Analytics,Analytical,Agile,Requirement Gathering,Strategic thinking,Visio,Communication,Problem Solving,Market Research,UML,Cross Functional Teams Experience: years Vacancy: 1