Technical Product Marketing Manager – Oracle Autonomous AI Lakehouse

Oracle is seeking a seasoned Technical Product Marketing Manager to serve as the technical authority and competitive voice for Oracle Autonomous AI Lakehouse. This role involves owning technical positioning and differentiation across the Autonomous AI Lakehouse portfolio and collaborating with product management and engineering to highlight Oracle's strengths in external communications.

Responsibilities:

• 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 BigQuery, AWS Redshift, and Microsoft Fabric
• 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
• 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
• 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
• 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
• 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
• 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

Requirements:

• 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