[Remote] Senior Principal Technical Product Marketing Manager – Oracle Autonomous AI Lakehouse

Note: The job is a remote job and is open to candidates in USA. 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, translating architecture-level advantages into narratives that win technical evaluators and influence industry analysts.

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

Skills

• 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
• A self-starter mentality: comfortable owning complex, ambiguous projects with minimal supervision, managing competing priorities across engineering, marketing, and sales stakeholders simultaneously
• Prior experience supporting or leading analyst relations briefings and/or major vendor evaluations (Gartner MQ, Forrester Wave, IDC MarketScape) is strongly preferred
• 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

Benefits

• May be eligible for bonus, equity, and compensation deferral.
• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• 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.
• 11 paid holidays
• 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.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

Company Overview

Company H1B Sponsorship