Sr. Product Manager-Fusion AI

As a Senior Product Manager on Fusion AI Agent Studio, you will lead a defined product area end-to-end—from discovery and requirements through roadmap, delivery, and launch. You’ll translate powerful agent platform capabilities into simple, repeatable experiences that help teams build, test, deploy, and operate AI agents reliably at enterprise scale. You’ll partner closely with Engineering, Design, Applied AI, and Fusion application teams to improve usability, predictability, governance, and operational visibility. 

 

Responsibilities: 

• Own a product area end-to-end: define scope, roadmap, and milestones aligned to Fusion AI strategy and measurable customer value (adoption, time-to-value, reliability, governance). 

• Translate customer workflows into platform capabilities: build reusable primitives and patterns that work across multiple agents and teams (not one-off implementations). 

• Ship guided + power experiences: deliver fast setup flows with sensible defaults while enabling advanced controls for extensibility, repeatability, and scale. 

• Design governed autonomy: define user controls, constraints, policies, tool permissions, safe fallback behaviors, and review checkpoints where needed. 

• Partner on evaluation + reliability: work with Applied AI to define quality signals, regression testing approach, reliability targets, and launch criteria. 

• Operationalize for enterprise: define instrumentation and success metrics (activation, reuse, runtime health, escalations/defects); improve observability and debugging. 

• Drive execution: write crisp PRDs, user stories, and acceptance criteria; align stakeholders; manage dependencies; deliver iterative releases. 

 

Minimum Qualifications: 

• 5+ years total experience, including 3–5 years in Product Management building and shipping SaaS and/or platform capabilities. 

• 1+ year shipping GenAI/LLM features in production (customer-facing or internal platform services), with clear outcomes (adoption, time saved, quality, reliability). 

• 1-year hands-on building agentic agents/workflows - multi-step orchestration with tool-calling, state/memory, routing, fallbacks, and human-in-the-loop checkpoints. 

• Proven ability to execute on complex cross-functional products/services from discovery → PRD → build → launch → iterate, partnering effectively with Engineering, UX, and Applied AI/DS teams. 

• Strong product judgment and execution: can turn ambiguity into a scoped plan, make trade-offs, and deliver simple UX on top of complex systems (builders, admin consoles, configuration-heavy experiences). 

• Practical understanding of AI reliability + governance: evaluation/regression testing, monitoring/telemetry, guardrails/policies, and safe behavior in edge cases. 

• Excellent written communication: crisp PRDs, user stories, acceptance criteria, and decision docs that align stakeholders and unblock execution. 

 

Preferred Qualifications: 

• Experience with Agentic platforms like LangChain, LangGraph, LlamaIndex, VertexAI or other similar products. 

• Experience designing and running agent evaluation programs- building test suites (golden sets), defining quality/reliability metrics, and using eval results to prevent regressions and improve agent performance. 

• Experience integrating different LLMs in the products and services. 

• Experience building platform primitives: APIs/SDKs, integrations/tool binding, templates, reusable components, and extensibility patterns. 

• Exposure to enterprise SaaS domains (HCM/ERP/SCM/CX) and large-scale deployment realities. 

Responsibilities: 

• Own a product area end-to-end: define scope, roadmap, and milestones aligned to Fusion AI strategy and measurable customer value (adoption, time-to-value, reliability, governance). 

• Translate customer workflows into platform capabilities: build reusable primitives and patterns that work across multiple agents and teams (not one-off implementations). 

• Ship guided + power experiences: deliver fast setup flows with sensible defaults while enabling advanced controls for extensibility, repeatability, and scale. 

• Design governed autonomy: define user controls, constraints, policies, tool permissions, safe fallback behaviors, and review checkpoints where needed. 

• Partner on evaluation + reliability: work with Applied AI to define quality signals, regression testing approach, reliability targets, and launch criteria. 

• Operationalize for enterprise: define instrumentation and success metrics (activation, reuse, runtime health, escalations/defects); improve observability and debugging. 

• Drive execution: write crisp PRDs, user stories, and acceptance criteria; align stakeholders; manage dependencies; deliver iterative releases. 

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: $74,700 to $178,100 per annum. May be eligible for bonus and equity.

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.

Career Level - IC3

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