Product Manager/Strategy 4-ProdDev

7 days ago

Redwood City, California, United States Oracle Full time $120,000 - $200,000 per year

Oracle is transforming enterprise automation through the Fusion AI Platform, pioneering intelligent agents that combine deterministic processes and LLM-based adaptive intelligence. As a product manager in the Fusion AI team, you will shape, deliver, and refine features that empower customers to create, orchestrate, and evaluate hybrid AI agents across Oracle Fusion Applications and beyond.

You will work cross-functionally to ensure the platform is secure, governed, and intuitive—enabling customers to design sophisticated, autonomous agents that drive measurable value. Your role bridges innovative AI technology with real-world business needs, supporting end-to-end agent development, evaluation, and lifecycle management within Oracle's enterprise ecosystem.

Requirements:

  • Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline.
  • 7+ years' experience in product management or software engineering roles building/deploying complex technology products.
  • 3+ years professional experience in applied machine learning, generative AI, agentic AI.
  • Demonstrated experience with generative AI technologies (e.g., LLMs, RAG, AI chat/agent frameworks)—preferably designing, delivering, or evaluating agent-based solutions.
  • Familiarity with agentic development and automation platforms such as Autogen, LangChain, Claude Code, Cursor, Flowise, N8N or similar.
  • Deep familiarity with defining product requirements, building roadmaps, and leading cross-functional product development.
  • Proven track record delivering AI, agentic, or advanced SaaS automation solutions to customers.
  • Excellent written and verbal communication skills, with ability to present complex topics to technical and business stakeholders.


Desired:

  • Experience with enterprise software platforms, especially Oracle Fusion Cloud Applications or similar ERP/HR/CRM suites.
  • Background in AI platform development, agent architecture, or integrating third-party APIs/tools.
  • Familiarity with agent evaluation, observability, and metrics frameworks (e.g., benchmarking correctness, latency, and safety in hybrid workflows).
  • Knowledge of enterprise security, governance, and compliance standards in AI/automation.
  • Experience working in large-scale, matrixed organizations.

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