About The Position
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.
Nice To Haves
- 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.
- 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.
- 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.
- Deep knowledge of the competitive data platform landscape - including Snowflake, Databricks, Google BigQuery, Azure Synapse/Fabric, and Amazon Redshift - and the ability to map their architectural decisions to customer trade-offs.
- 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.
- Prior experience supporting or leading analyst relations briefings and/or major vendor evaluations (Gartner MQ, Forrester Wave, IDC MarketScape) is strongly preferred.
- A self-starter mentality: comfortable owning complex, ambiguous projects with minimal supervision, managing competing priorities across engineering, marketing, and sales stakeholders simultaneously.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
