Oracle is seeking a seasoned Technical Product Marketing Manager to serve as the technical authority and competitive voice for Oracle Autonomous AI Lakehouse. In this highly visible, high-impact role, you will own technical positioning and differentiation across the full Autonomous AI Lakehouse portfolio—spanning converged database, vector search, AI pipelines, and open lakehouse capabilities built on Apache Iceberg and object storage. You will operate at the intersection of deep engineering knowledge and strategic marketing, translating architecture-level advantages into narratives that win technical evaluators, influence industry analysts, and displace the competition.

We are looking for a technically fearless product marketer who thrives on rigor - someone who can reverse-engineer a competitor's benchmark, architect a convincing counter-narrative, and publish a TPC-style performance report, all while keeping a sharp eye on what customers and field teams actually need to close deals. You will partner directly with product management, engineering, and field engineering to ensure that Oracle's technical strengths are highlighted throughout our external communication.

PREFERRED QUALIFICATIONSWhat You Bring:

1. 8 years of B2B technical product marketing, product management, or senior field engineering experience within data platforms, cloud databases, or AI/ML infrastructure—ideally at a hyperscaler, independent software vendor, or enterprise data company.

2. Hands-on technical fluency with data lakehouse architectures, columnar storage formats (Parquet, ORC, Iceberg, Delta Lake), distributed query engines (Spark, Trino, Flink), and vector databases - sufficient to evaluate competitive products independently and identify substantive differentiation.

3. Demonstrated experience designing, running, and publishing database or data warehouse performance benchmarks (TPC-DS, TPC-H, or custom workloads), including understanding of benchmark governance, reproducibility requirements, and FDR processes.

4. Deep knowledge of the competitive data platform landscape - including Snowflake, Databricks, Google Big Query, Azure Synapse/Fabric, and Amazon Redshift - and the ability to map their architectural decisions to customer trade-offs.

5. Exceptional written and verbal communication skills, with a portfolio of published technical content - white papers, benchmark reports, architecture guides, or technical blogs - that demonstrate the ability to make complex ideas accessible without sacrificing accuracy.

6. Prior experience supporting or leading analyst relations briefings and/or major vendor evaluations (Gartner MQ, Forrester Wave, IDC Market Scape) is strongly preferred.

7. A self-starter mentality: comfortable owning complex, ambiguous projects with minimal supervision, managing competing priorities across engineering, marketing, and sales stakeholders simultaneously.

8. Familiarity with Oracle Database, Oracle Exadata, OCI, or Oracle Autonomous Database is a plus but not required; demonstrated ability to develop deep product expertise rapidly is essential.

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: $115,400 to $251,600 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.

• Career Level
• IC5

What You'll Do:

1. Own technical positioning end-to-end:

develop and maintain the master technical narrative for Oracle Autonomous AI Lakehouse, including architecture comparisons, feature-by-feature competitive matrices, and TCO/ROI frameworks that clearly articulate Oracle's advantages over Snowflake, Databricks, Google Big Query, AWS Redshift, and Microsoft Fabric.

1. Lead competitive intelligence:

conduct deep, hands-on technical analysis of competitive platforms—including evaluation of product documentation, release notes, conference sessions, and direct product trials—to produce authoritative competitive battle cards, technical briefs, and internal intelligence reports consumed by sales, field engineering, and executive leadership.

1. Publish performance benchmarks:

design, execute, and publish industry-credible performance benchmarks (TPC-DS, TPC-H, custom AI inference and RAG workloads) that demonstrate Oracle Autonomous AI Lakehouse's price-performance advantages; partner with engineering to ensure methodological integrity and defend results against third-party scrutiny.

1. Create technical content assets:

author white papers, solution briefs, deep-dive technical blogs, reference architectures, and hands-on labs that serve technical audiences including data architects, DBAs, data engineers, and ML engineers—translating complex platform internals into compelling, differentiated value propositions.

1. Enable the technical field:

develop and deliver technical enablement programs for pre-sales engineers, solution architects, and partner technical teams, ensuring they can authoritatively position Oracle Autonomous AI Lakehouse in competitive deals and proof-of-concept engagements.

1. Influence product strategy:

synthesize competitive insights and customer feedback to provide actionable, evidence-based recommendations to product management and engineering on capability gaps, positioning risks, and market opportunities.

1. Support analyst and press relations:

prepare and deliver technical briefings for industry analysts (Gartner, Forrester, IDC) and technology press, ensuring Oracle's Lakehouse story is accurately represented in market evaluations and vendor landscapes.