Product Manager/Strategy 6-ProdDev

Description

We are seeking a highly influential technical Product Manager (Individual Contributor) to define and drive the development of advanced product capabilities that leverage Generative AI, RAG, and intelligent agent workflows in the context of Oracle’s Fusion Applications.  Fusion Applications is a complete suite of SaaS offerings that include Human Capital Management (HCM), Enterprise Resource Management (ERP), Supply Chain Management (SCM), and Customer Experience (CX).  Generative AI in general, and AI Agents in particular, are a transformative opportunity to empower businesses to achieve unprecedented levels of efficiency, scalability, and consistency.  We provide the software that enables our application teams to incorporate these capabilities into their business flows.  Our software also enables partners and customers to configure and extend these capabilities to suit their specific business requirements.  

The ideal candidate will have a solid blend of engineering and product management, with a deep understanding of engineering scalable platforms, AI, machine learning, and software architecture, with specific hands-on experience in developing and managing SaaS services. You will work closely with engineering, research, and customer-facing teams to develop a robust platform roadmap that aligns with market needs and technological advancements, emphasizing developer extensibility, agentic frameworks, and customizable AI solutions

 

Career Level - IC6

Responsibilities

Key Responsibilities:

• Collaborate with enterprise application (HCM, ERP, SCM, CX) Product Managers to understand use cases and identify opportunities to transform those use cases with Generative AI.
• Define the requirements for the underlying generative AI platform that provides an extensible architecture which empowers developers to create custom AI-driven workflows, applications, and integrations.
• Work with product development to design a modular, scalable platform that supports extensibility through a comprehensive framework of APIs, SDKs, and plugins, allowing customers to easily build and extend capabilities such as Retrieval-Augmented Generation (RAG), agentic workflows, and advanced prompt engineering.
• Spearhead the design and development of RAG-based features, enabling dynamic retrieval from internal and external knowledge bases to enhance AI response accuracy and context relevance. Ensure seamless integration with enterprise data lakes, APIs, and other data sources.
• Develop the strategy for building agentic workflows that empower users to automate complex processes by creating custom AI agents. Focus on designing tools that enable the orchestration of multi-step, multi-system interactions, dynamically adjusting to changing conditions and inputs.
• Define a robust approach for building a prompt management system, enabling users to create, optimize, and manage complex prompts that drive AI behavior. Ensure the system supports prompt versioning, testing, and deployment at scale.
• Create a developer-centric ecosystem with robust tools, libraries, and documentation, facilitating seamless integration and extensibility for third-party developers and partners. Prioritize developer experience and low-friction adoption paths.
• Provide hands-on leadership in defining technical requirements, platform architecture, and development processes. Ensure scalable, secure, and high-performance product delivery.
• Develop and monitor key performance indicators (KPIs) to measure product success. Use data-driven insights to drive continuous improvement and feature optimization.

 

Skills & Qualifications:

• Cloud and Distributed Systems: Strong experience with cloud-native architectures, distributed systems, microservices, and containerization technologies (e.g., Kubernetes, Docker). Familiarity with cloud platforms like AWS, Azure, or GCP.
• Technical Expertise in applied AI/ML: Deep expertise in engineering AI/ML applications, especially using large language models (LLMs), natural language processing (NLP), and generative AI frameworks. 
• Platform Extensibility & API Design: Extensive experience designing and developing extensible SaaS platforms, with a strong focus on API design, SDK development, and plugin architectures. Ability to lead the creation of developer tools and frameworks for extensibility.
• Experience with Agentic Frameworks: Direct experience with one or more agentic frameworks such as AutoGen, Crewai, LangGraph, OCI Agents, and Copilot is required. Proven ability to build, deploy, and manage agentic workflows and AI-driven agents that support autonomous decision-making and multi-agent collaboration.
• Prompt Engineering Proficiency: Strong understanding of prompt engineering techniques, prompt chaining, and dynamic prompt generation. Experience in building systems for prompt management, experimentation, and optimization.
• Engineering background: Hands-on experience with Python, Java, or similar languages. Strong understanding of software development best practices, version control, CI/CD pipelines, and DevOps practices.
• Product Management in SaaS: 7+ years of hands-on technical product management, product strategy, or a related role in SaaS environments, with a minimum of 3 years focused on AI/ML-driven products.
• Leadership & Communication: Excellent leadership, communication, and interpersonal skills with the ability to influence and drive cross-functional teams and executive stakeholders.
• Analytical & Strategic Thinking: Exceptional analytical and strategic thinking skills with the ability to leverage data and insights for decision-making and prioritization.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field is required.

Preferred Experience:

• Experience leading AI/ML teams or projects, with a focus on building AI-driven SaaS products.
• Demonstrated experience with RAG, and agent-based architectures frameworks.
• Expertise in cloud infrastructure, orchestration tools, and scalable AI model deployment.
• Proven experience creating and managing developer ecosystems and marketplaces.
• Understanding of ethical, legal, and regulatory considerations in AI, data privacy, and security.

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.