Product Manager OEM
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Job Summary
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 :
No
Employment 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
About Company
We are growing! At IFS we are constantly growing to deliver award-winning solutions to hundreds of partners and thousands of customers worldwide! We help companies who want to be their best when it matters most at their #momentofservice. Visit https://ifs.link/IzM0px to find out mo ... View more
