Technical Product Marketing AI Engine Optimization Specialist—Oracle AI Database
Oracle
Full-time
On-site
United States
$82,500 - $199,500 USD yearly
Product Marketing
Description
Role Overview As a Technical Product Marketing AI Engine Optimization (AEO) Specialist, you will be responsible for the strategy that makes Oracle AI Database technologies discoverable, accurately represented, and consistently cited by large language models (LLMs) in the public domain. You’ll optimize the full AI retrieval pipeline, from how product knowledge is structured and published, to how it’s embedded, retrieved, and surfaced in AI-generated answers—so that capabilities such as AI Vector Search and Globally Distributed Database appear with high relevance, strong factuality, and low latency across AI-powered conversational search experiences. This role blends information retrieval, semantic search, content engineering, and LLM evaluation. You’ll partner across Oracle AI Database Product Management, Engineering, and Product Marketing to build a measurable AEO program that drives organic adoption by ensuring Oracle AI Database technical product content is the easiest for AI systems to retrieve and trust.
Responsibilities
Key Responsibilities AI Discoverability & Retrieval Optimization
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: $82,500 to $199,500 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.
Role Overview As a Technical Product Marketing AI Engine Optimization (AEO) Specialist, you will be responsible for the strategy that makes Oracle AI Database technologies discoverable, accurately represented, and consistently cited by large language models (LLMs) in the public domain. You’ll optimize the full AI retrieval pipeline, from how product knowledge is structured and published, to how it’s embedded, retrieved, and surfaced in AI-generated answers—so that capabilities such as AI Vector Search and Globally Distributed Database appear with high relevance, strong factuality, and low latency across AI-powered conversational search experiences. This role blends information retrieval, semantic search, content engineering, and LLM evaluation. You’ll partner across Oracle AI Database Product Management, Engineering, and Product Marketing to build a measurable AEO program that drives organic adoption by ensuring Oracle AI Database technical product content is the easiest for AI systems to retrieve and trust.
Responsibilities
Key Responsibilities AI Discoverability & Retrieval Optimization
- Audit and optimize how Oracle AI Database documentation, reference content, and knowledge stores are structured for indexing, embedding, and retrieval by LLM-driven systems.
- Define and implement best practices for metadata, content taxonomies, canonical sources, schema/structured data, and machine-readable formatting to improve extraction and grounding.
- Develop strategies for improving semantic retrieval performance.
- Design prompt patterns and evaluation prompts to increase retrieval accuracy, coherence, and factuality, with a focus on reducing hallucinations and improving citation quality.
- Identify high-value prompts, topics, and query clusters where AI-generated answers underperform, and translate gaps into content + technical plans.
- Build AEO reporting and measurement frameworks using KPIs, including retrieval relevance, answer accuracy, citation quality, coverage, and latency.
- Run structured experiments (including A/B tests) on content formats and retrieval strategies; analyze outcomes and operationalize learnings into repeatable playbooks.
- Benchmark Oracle visibility and accuracy versus competitive narratives in AI-generated responses; track drift as AI models and ranking behaviors evolve.
- Partner with Oracle AI Database Product, Engineering, and Product Marketing to implement changes such as markup, content restructuring, knowledge hub improvements, and publishing workflows that increase AI trust and retrieval performance.
- Create scalable AEO playbooks and enablement materials for technical product managers, including templates for Q&A, reference blocks, and “LLM-friendly” technical summaries.
- Stay current with advances in LLM optimization, vector search, retrieval models, reranking, grounding/citations, and semantic discoverability; rapidly incorporate emerging best practices.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Science, or related discipline.
- 1–3 years of experience in any of the following areas: ranking frameworks, forecasting models, search/retrieval optimization, information architecture, data/knowledge engineering, AI/ML implementation, technical documentation for complex systems.
- Knowledge of LLMs, prompt engineering, embeddings, and RAG architectures.
- Experience measuring and improving retrieval quality using metrics such as precision/recall, MRR, NDCG, and related evaluation methods.
- Strong skills in data analysis, scripting, and technical communication.
- Familiarity with Oracle AI Database, vector search, or comparable semantic retrieval technologies.
- Hands-on experience building or optimizing LLM-backed experiences, including content designed for grounded inference and citation-ready answers.
- Experience with neural networks, neural machine translation, or modern NLP architectures.
- Experience with relevance feedback loops, evaluation harnesses, and model quality monitoring in production settings.
- Background creating enterprise-grade knowledge bases, content hubs, or search/retrieval systems.
- Familiarity with tokenization and encoding methods
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: $82,500 to $199,500 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 - IC4